global+optimization+algorithms+theory+and+application part38

8/3/2019 Global+Optimization+Algorithms+Theory+and+Application Part38

1/20

RE FERE NC ES 7 41

courses/papers/Reynolds1987-flocks.pdf and http://www.cs.toronto.edu/

~dt/siggraph97-course/cwr87/ [accessed 2008-07-27]. See also [1724].[1724] Craig W. Reynolds. Flocks, herds and schools: A distributed behavioral model.

In SIGGRAPH87, Proceedings of the 14th annual conference on Computer graph-ics and interactive techniques, pages 2534, July 2731, 1987, Anaheim, California,USA. Association for Computing Machinery (ACM), New York, NY, USA. ISBN:0-8979-1227-6. doi:10.1145/37401.37406. Online available at http://citeseer.ist.psu.edu/reynolds-flocks.html and http://doi.acm.org/10.1145/37401.37406[accessed 2008-07-27]. See also [1723].

[1725] Bernadete Ribeiro, Rudolf F. Albrecht, Andrej Dobnikar, David W. Pearson, andNigel C. Steele, editors. Proceedings of the 7th International Conference on Adap-tive and Natural Computing Algorithms, ICANNGA 2005, March 2123, 2005, De-partment of Informatics Engineering, Faculty of Science and Technology, Univer-sity of Coimbra, Coimbra, Portugal. Springer, Wien. ISBN: 978-3-21124-934-5,978-3-21127-389-0. see http://icannga05.dei.uc.pt/ [accessed 2007-08-31].

[1726] Celso C. Ribeiro and Pierre Hansen, editors. 3rd Metaheuristics International Con-

ference (MIC99) Essays and Surveys in Metaheuristics, volume 15 of OperationsResearch/Computer Science Interfaces, July 1923, 1999, Angra dos Reis, Brazil.Kluwer Academic Publishers, Boston, USA. ISBN: 0-7923-7520-3. Published in 2001.

[1727] John A. Rice. Mathematical Statistics and Data Analysis. Statistics. Duxbury Press,third edition, April 2006. ISBN: 978-0-53439-942-9, 978-0-53420-934-6.

[1728] Jon T. Richardson, Mark R. Palmer, Gunar E. Liepins, and Mike R. Hilliard. Someguidelines for genetic algorithms with penalty functions. In Proceedings of the thirdInternational Conference on Genetic Algorithms ICGA, pages 191197, 1989. Inproceedings [1820].

[1729] Hendrik Richter. Behavior of evolutionary algorithms in chaotically changing fit-ness landscapes. In Proceedings of 8th International Conference on Parallel ProblemSolving from Nature, PPSN VIII, pages 111120, 2004. In proceedings [2285].

[1730] Mark Ridley. Evolution. Blackwell Publishing Limited, eighth (october 1, 2003)edition, 1996. ISBN: 978-1-40510-345-9.[1731] John Riedl and Randall W. Hill Jr., editors. Proceedings of the Fifteenth Conference

on Innovative Applications of Artificial Intelligence, August 1214, 2003, Acapulco,Mexico. AAAI. ISBN: 1-5773-5188-6. See http://www.aaai.org/Conferences/IAAI/iaai03.php [accessed 2007-09-06].

[1732] Rupert J. Riedl. A systems-analytical approach to macroevolutionary phenomena.Quarterly Review of Biology, (52):351370, 1977.

[1733] Bernhard Riemann. Uber die anzahl der primzahlen unter einer gegebenengroe. Monatsberichte der Koniglich Preuischen Akadademie der Wissenschaftenzu Berlin, November 1859. Online available at http://www.claymath.org/millennium/Riemann_Hypothesis/1859_manuscript/zeta.pdf and http://www.maths.tcd.ie/pub/HistMath/People/Riemann/Zeta/EZeta.pdf [accessed 2008-08-24].

[1734] Rick Riolo and Bill Worzel, editors. Genetic Programming Theory and Practice,Proceedings of the Genetic Programming Theory Practice 2003 Workshop (GPTP-2003), Genetic Programming Series, May 15-17, 2003, The Center for the Studyof Complex Systems (CSCS), University of Michigan, Ann Arbor, UMichigan, SA.Springer, Kluwer Publishers, Boston, MA. ISBN: 1-4020-7581-2, 978-1-40207-581-0.See http://www.cscs.umich.edu/gptp-workshops/gptp2003/ [accessed 2007-09-28].

[1735] Rick Riolo, Terence Soul, and Bill Worzel, editors. Genetic Programming Theory andPractice IV, Proceedings of the Genetic Programming Theory Practice 2006 Workshop(GPTP-2006), Genetic and Evolutionary Computation, May 11-13, 2006, The Centerfor the Study of Complex Systems (CSCS), University of Michigan, Ann Arbor,Michigan, USA. Springer. ISBN: 978-0-38733-375-5. See http://www.cscs.umich.edu/gptp-workshops/gptp2006/ [accessed 2007-09-28].
http://graphics.ucmerced.edu/~mkallmann/courses/papers/Reynolds1987-flocks.pdfhttp://www.cs.toronto.edu/~dt/siggraph97-course/cwr87/http://www.cs.toronto.edu/~dt/siggraph97-course/cwr87/http://www.cs.toronto.edu/~dt/siggraph97-course/cwr87/http://-/?-http://books.google.com/books?as_isbn=0897912276http://books.google.com/books?as_isbn=0897912276http://dx.doi.org/10.1145/37401.37406http://dx.doi.org/10.1145/37401.37406http://citeseer.ist.psu.edu/reynolds-flocks.htmlhttp://citeseer.ist.psu.edu/reynolds-flocks.htmlhttp://doi.acm.org/10.1145/37401.37406http://-/?-http://books.google.com/books?as_isbn=9783211249345http://books.google.com/books?as_isbn=9783211249345http://books.google.com/books?as_isbn=9783211273890http://icannga05.dei.uc.pt/http://books.google.com/books?as_isbn=0792375203http://books.google.com/books?as_isbn=0792375203http://books.google.com/books?as_isbn=9780534399429http://books.google.com/books?as_isbn=9780534399429http://books.google.com/books?as_isbn=9780534209346http://books.google.com/books?as_isbn=9780534209346http://-/?-http://-/?-http://books.google.com/books?as_isbn=9781405103459http://books.google.com/books?as_isbn=9781405103459http://books.google.com/books?as_isbn=1577351886http://books.google.com/books?as_isbn=1577351886http://www.aaai.org/Conferences/IAAI/iaai03.phphttp://www.aaai.org/Conferences/IAAI/iaai03.phphttp://www.claymath.org/millennium/Riemann_Hypothesis/1859_manuscript/zeta.pdfhttp://www.claymath.org/millennium/Riemann_Hypothesis/1859_manuscript/zeta.pdfhttp://www.maths.tcd.ie/pub/HistMath/People/Riemann/Zeta/EZeta.pdfhttp://www.maths.tcd.ie/pub/HistMath/People/Riemann/Zeta/EZeta.pdfhttp://books.google.com/books?as_isbn=1402075812http://books.google.com/books?as_isbn=9781402075810http://books.google.com/books?as_isbn=9781402075810http://www.cscs.umich.edu/gptp-workshops/gptp2003/http://books.google.com/books?as_isbn=9780387333755http://books.google.com/books?as_isbn=9780387333755http://www.cscs.umich.edu/gptp-workshops/gptp2006/http://www.cscs.umich.edu/gptp-workshops/gptp2006/http://www.cscs.umich.edu/gptp-workshops/gptp2006/http://www.cscs.umich.edu/gptp-workshops/gptp2006/http://books.google.com/books?as_isbn=9780387333755http://www.cscs.umich.edu/gptp-workshops/gptp2003/http://books.google.com/books?as_isbn=9781402075810http://books.google.com/books?as_isbn=1402075812http://www.maths.tcd.ie/pub/HistMath/People/Riemann/Zeta/EZeta.pdfhttp://www.maths.tcd.ie/pub/HistMath/People/Riemann/Zeta/EZeta.pdfhttp://www.claymath.org/millennium/Riemann_Hypothesis/1859_manuscript/zeta.pdfhttp://www.claymath.org/millennium/Riemann_Hypothesis/1859_manuscript/zeta.pdfhttp://www.aaai.org/Conferences/IAAI/iaai03.phphttp://www.aaai.org/Conferences/IAAI/iaai03.phphttp://books.google.com/books?as_isbn=1577351886http://books.google.com/books?as_isbn=9781405103459http://-/?-http://-/?-http://books.google.com/books?as_isbn=9780534209346http://books.google.com/books?as_isbn=9780534399429http://books.google.com/books?as_isbn=0792375203http://icannga05.dei.uc.pt/http://books.google.com/books?as_isbn=9783211273890http://books.google.com/books?as_isbn=9783211249345http://-/?-http://doi.acm.org/10.1145/37401.37406http://citeseer.ist.psu.edu/reynolds-flocks.htmlhttp://citeseer.ist.psu.edu/reynolds-flocks.htmlhttp://dx.doi.org/10.1145/37401.37406http://books.google.com/books?as_isbn=0897912276http://-/?-http://www.cs.toronto.edu/~dt/siggraph97-course/cwr87/http://www.cs.toronto.edu/~dt/siggraph97-course/cwr87/http://graphics.ucmerced.edu/~mkallmann/courses/papers/Reynolds1987-flocks.pdf


2/20

74 2 RE FE RE NC ES

[1736] Rick L. Riolo. Letseq: An implementation of the cfs-c classifier system in a task-domain that involves learning to predict letter. Technical Report, Logic of computersgroup, Division of computer science and engineering, University of Michigan, 1986,revised 1988. Online available at http://citeseer.ist.psu.edu/345595.html [ac-cessed 2007-09-11].

[1737] Rick L. Riolo. Bucket brigade performance: Ii. default hierarchies. In Proceedingsof the Second International Conference on Genetic algorithms and their application,pages 196201, 1987. In proceedings [857].

[1738] Rick L. Riolo. Bucket brigade performance: I. long sequences of classifiers. In Pro-ceedings of the Second International Conference on Genetic algorithms and theirapplication, pages 184195, 1987. In proceedings [857].

[1739] Rick L. Riolo. The emergence of default hierarchies in learning classifier systems. InProceedings of the 3rd International Conference on Genetic Algorithms (ICGA89),pages 322327, 1989. In proceedings [1820].

[1740] Matei Ripeanu, Ian Foster, and Adriana Iamnitchi. Mapping the gnutella network:Properties of large-scale peer-to-peer systems and implications for system design.

IEEE Internet Computing Journal, 6(1):5057, February 2002. Online available athttp://people.cs.uchicago.edu/~matei/papers/ic.pdf and http://citeseer.ist.psu.edu/ripeanu02mapping.html [accessed 2008-06-24].

[1741] Irina Rish. An empirical study of the naive bayes classifier. In Proceedings of IJCAI-01 workshop on Empirical Methods in AI, International Joint Conference on Artifi-cial Intelligence, pages 4146. American Association for Artificial Intelligence, 2001.In proceedings [1507]. Online available at http://www.cc.gatech.edu/~isbell/classes/reading/papers/Rish.pdf [accessed 2007-08-11].

[1742] Ron Rivest. S-expressions, May 4, 1997. draft-rivest-sexp-00.txt. Online available athttp://people.csail.mit.edu/rivest/Sexp.txt [accessed 2007-07-03]. Network Work-ing Group, Internet Draft, Expires November 4, 1997.

[1743] Herbert Robbins and Sutton Monro. A stochastic approximation

method. Annals of Mathematical Statistics, 22(3):400407, September 1951.doi:10.1214/aoms/1177729586. Online available at http://projecteuclid.org/euclid.aoms/1177729586 [accessed 2008-10-11], Mathematical Reviews number(MathSciNet): MR42668, Zentralblatt MATH identifier: 0054.05901.

[1744] Christian P. Robert and George Casella. Monte Carlo Statistical Methods. SpringerTexts in Statistics. Springer-Verlag New York, Inc., Secaucus, NJ, USA, secondedition, 2004. ISBN: 0-3872-1239-6, 978-0-38721-239-5. Partly online available athttp://books.google.de/books?id=HfhGAxn5GugC [accessed 2008-08-16].

[1745] Alan Robinson. Genetic programming: Theory, implementation, and the evolu-tion of unconstrained solutions. Masters thesis, Cognitive Science, Hampshire Col-lege, Amherst, MA 01002, May 2003. Division III Thesis. Committee Lee Spec-tor, Jaime Davila, Mark Feinstein. Online available at http://hampshire.edu/lspector/robinson-div3.pdf and http://citeseer.ist.psu.edu/498673.html[accessed 2007-12-25].

[1746] Alex Rogers and Adam Prugel-Bennett. Modelling the dynamics of a steady-stategenetic algorithm. In Foundations of Genetic Algorithms 5, pages 5768, 1998. Inproceedings [139]. Online available at http://eprints.ecs.soton.ac.uk/451/02/FOGA.ps and http://citeseer.ist.psu.edu/rogers99modelling.html [accessed 2007-08-28].

[1747] Daniel S. Rokhsar, Philip Warren Anderson, and Daniel L. Stein. Self-organizationin prebiological systems: Simulations of a model for the origin of genetic information.Journal of Molecular Evolution, 23(2):119126, June 1986. ISSN: 0022-2844 (print),1432-1432 (online). doi:10.1007/BF02099906. Online available at http://www.springerlink.com/content/m268540162062735/fulltext.pdf [accessed 2008-07-02].
http://citeseer.ist.psu.edu/345595.htmlhttp://-/?-http://-/?-http://-/?-http://people.cs.uchicago.edu/~matei/papers/ic.pdfhttp://people.cs.uchicago.edu/~matei/papers/ic.pdfhttp://people.cs.uchicago.edu/~matei/papers/ic.pdfhttp://citeseer.ist.psu.edu/ripeanu02mapping.htmlhttp://citeseer.ist.psu.edu/ripeanu02mapping.htmlhttp://-/?-http://www.cc.gatech.edu/~isbell/classes/reading/papers/Rish.pdfhttp://www.cc.gatech.edu/~isbell/classes/reading/papers/Rish.pdfhttp://www.cc.gatech.edu/~isbell/classes/reading/papers/Rish.pdfhttp://www.cc.gatech.edu/~isbell/classes/reading/papers/Rish.pdfhttp://people.csail.mit.edu/rivest/Sexp.txthttp://dx.doi.org/10.1214/aoms/1177729586http://dx.doi.org/10.1214/aoms/1177729586http://dx.doi.org/10.1214/aoms/1177729586http://projecteuclid.org/euclid.aoms/1177729586http://projecteuclid.org/euclid.aoms/1177729586http://books.google.com/books?as_isbn=0387212396http://books.google.com/books?as_isbn=0387212396http://books.google.com/books?as_isbn=9780387212395http://books.google.de/books?id=HfhGAxn5GugChttp://hampshire.edu/lspector/robinson-div3.pdfhttp://hampshire.edu/lspector/robinson-div3.pdfhttp://citeseer.ist.psu.edu/498673.htmlhttp://-/?-http://eprints.ecs.soton.ac.uk/451/02/FOGA.pshttp://eprints.ecs.soton.ac.uk/451/02/FOGA.pshttp://citeseer.ist.psu.edu/rogers99modelling.htmlhttp://dx.doi.org/10.1007/BF02099906http://dx.doi.org/10.1007/BF02099906http://www.springerlink.com/content/m268540162062735/fulltext.pdfhttp://www.springerlink.com/content/m268540162062735/fulltext.pdfhttp://www.springerlink.com/content/m268540162062735/fulltext.pdfhttp://www.springerlink.com/content/m268540162062735/fulltext.pdfhttp://dx.doi.org/10.1007/BF02099906http://citeseer.ist.psu.edu/rogers99modelling.htmlhttp://eprints.ecs.soton.ac.uk/451/02/FOGA.pshttp://eprints.ecs.soton.ac.uk/451/02/FOGA.pshttp://-/?-http://citeseer.ist.psu.edu/498673.htmlhttp://hampshire.edu/lspector/robinson-div3.pdfhttp://hampshire.edu/lspector/robinson-div3.pdfhttp://books.google.de/books?id=HfhGAxn5GugChttp://books.google.com/books?as_isbn=9780387212395http://books.google.com/books?as_isbn=0387212396http://projecteuclid.org/euclid.aoms/1177729586http://projecteuclid.org/euclid.aoms/1177729586http://dx.doi.org/10.1214/aoms/1177729586http://people.csail.mit.edu/rivest/Sexp.txthttp://www.cc.gatech.edu/~isbell/classes/reading/papers/Rish.pdfhttp://www.cc.gatech.edu/~isbell/classes/reading/papers/Rish.pdfhttp://-/?-http://citeseer.ist.psu.edu/ripeanu02mapping.htmlhttp://citeseer.ist.psu.edu/ripeanu02mapping.htmlhttp://people.cs.uchicago.edu/~matei/papers/ic.pdfhttp://-/?-http://-/?-http://-/?-http://citeseer.ist.psu.edu/345595.html


3/20

RE FERE NC ES 7 43

[1748] Dumitru Roman, Uwe Keller, and Holger Lausen. WSMO Web Service ModelingOntology. Digital Enterprise Research Institute (DERI), February 2004. Onlineavailable at http://www.wsmo.org/2004/d2/v0.1/20040214/ [accessed 2007-09-02]. Seealso http://www.wsmo.org/ [accessed 2007-09-02] and [1749].

[1749] Dumitru Roman, Uwe Keller, Holger Lausen, Jos de Bruijn, Ruben Lara, MichaelStollberg, Axel Polleres, Cristina Feier, Christoph Bussler, and Dieter Fensel. Webservice modeling ontology. Applied Ontology, 1(1):77106, 2005. See also http://www.wsmo.org/ [accessed 2007-09-02] and [1748].

[1750] Simon Ronald. Preventing diversity loss in a routing genetic algorithm with hashtagging. Complexity International, 2, April 1995. ISSN: 1320-0683. Online availableat http://www.complexity.org.au/ci/vol02/sr_hash/ [accessed 2007-07-28].

[1751] Simon Ronald. Genetic Algorithms and Permutation-Encoded Problems. DiversityPreservation and a Study of Multimodality. PhD thesis, University Of South Aus-tralia. Department of Computer and Information Science, 1996.

[1752] Simon Ronald. Robust encodings in genetic algorithms: A survey of encodingissues. In IEEE Forth International Conference on Evolutionary Computation

(IEEE/ICEC97), pages 4348, 1997. doi:10.1109/ICEC.1997.592265. In proceed-ings [106].

[1753] Min rong Chen, Yong zai Lu, and Gen ke Yang. Multiobjective extremal optimizationwith applications to engineering design. Journal of Zhejiang University ScienceA, 8(12):19051911, November 2007. ISSN: 1673-565X (Print) 1862-1775 (Online).doi:10.1631/jzus.2007.A1905.

[1754] Wan rong Jih and Jane Yung jen Hsu. Dynamic vehicle routing using hybrid ge-netic algorithms. In IEEE International Conference on Robotics and Automation,volume 1, pages 453458, May 1015, 1999, Detroid, Michigan. ISBN: 0-7803-5180-0.INSPEC Accession Number: 6345736. doi:10.1109/ROBOT.1999.770019. Onlineavailable at http://neo.lcc.uma.es/radi-aeb/WebVRP/data/articles/DVRP.pdf[accessed 2008-10-27].

[1755] Peter Roosen and Fred Meyer. Determination of chemical equilibria by means ofan evolution strategy. In PPSN-II, Parallel problem solving from nature 2, pages411420, 1992. In proceedings [1357].

[1756] Justinian Rosca. Generality versus size in genetic programming. In Genetic Pro-gramming 1996: Proceedings of the First Annual Conference, pages 381387, 1996. Inproceedings [1207]. Online available at http://citeseer.ist.psu.edu/75165.htmland ftp://ftp.cs.rochester.edu/pub/u/rosca/gp/96.gp.ps.gz [accessed 2007-09-07].

[1757] Justinian P. Rosca. Proceedings of the workshop on genetic programming: Fromtheory to real-world applications. Technical Report 95.2, University of Rochester,National Resource Laboratory for the Study of Brain and Behavior, Morgan Kauf-mann, San Mateo, California, Rochseter, New York, USA, July 9, 1995, Tahoe City,California, USA. Held in conjunction with the twelfth International Conference onMachine Learning.

[1758] Justinian P. Rosca. An analysis of hierarchical genetic programming. Techni-cal Report TR566, The University of Rochester, Computer Science Department,Rochester, New York, 1527, USA, March 1995. Online available at ftp://ftp.cs.rochester.edu/pub/u/rosca/gp/95.tr566.ps.gz and http://citeseer.ist.psu.edu/rosca95analysis.html [accessed 2008-02-24].

[1759] Justinian P. Rosca and Dana H. Ballard. Causality in genetic programming. InProceedings of the 6th International Conference on Genetic Algorithms (ICGA95),pages 256263, 1995. In proceedings [636]. Online available at http://citeseer.ist.psu.edu/rosca95causality.html [accessed 2007-08-12].

[1760] Richard S. Rosenberg. Simulation of genetic populations with biochemical properties.PhD thesis, The University of Michigan, College of Literature, Science, and the Arts,Computer and Communication Sciences Department, Ann Arbor, MI, USA, June
http://www.wsmo.org/2004/d2/v0.1/20040214/http://www.wsmo.org/http://-/?-http://www.wsmo.org/http://www.wsmo.org/http://-/?-http://www.complexity.org.au/ci/vol02/sr_hash/http://dx.doi.org/10.1109/ICEC.1997.592265http://-/?-http://dx.doi.org/10.1631/jzus.2007.A1905http://dx.doi.org/10.1631/jzus.2007.A1905http://dx.doi.org/10.1631/jzus.2007.A1905http://books.google.com/books?as_isbn=0780351800http://books.google.com/books?as_isbn=0780351800http://dx.doi.org/10.1109/ROBOT.1999.770019http://neo.lcc.uma.es/radi-aeb/WebVRP/data/articles/DVRP.pdfhttp://-/?-http://-/?-http://citeseer.ist.psu.edu/75165.htmlftp://ftp.cs.rochester.edu/pub/u/rosca/gp/96.gp.ps.gzftp://ftp.cs.rochester.edu/pub/u/rosca/gp/95.tr566.ps.gzftp://ftp.cs.rochester.edu/pub/u/rosca/gp/95.tr566.ps.gzhttp://citeseer.ist.psu.edu/rosca95analysis.htmlhttp://citeseer.ist.psu.edu/rosca95analysis.htmlhttp://-/?-http://citeseer.ist.psu.edu/rosca95causality.htmlhttp://citeseer.ist.psu.edu/rosca95causality.htmlhttp://citeseer.ist.psu.edu/rosca95causality.htmlhttp://citeseer.ist.psu.edu/rosca95causality.htmlhttp://-/?-http://citeseer.ist.psu.edu/rosca95analysis.htmlhttp://citeseer.ist.psu.edu/rosca95analysis.htmlftp://ftp.cs.rochester.edu/pub/u/rosca/gp/95.tr566.ps.gzftp://ftp.cs.rochester.edu/pub/u/rosca/gp/95.tr566.ps.gzftp://ftp.cs.rochester.edu/pub/u/rosca/gp/96.gp.ps.gzhttp://citeseer.ist.psu.edu/75165.htmlhttp://-/?-http://-/?-http://neo.lcc.uma.es/radi-aeb/WebVRP/data/articles/DVRP.pdfhttp://dx.doi.org/10.1109/ROBOT.1999.770019http://books.google.com/books?as_isbn=0780351800http://dx.doi.org/10.1631/jzus.2007.A1905http://-/?-http://dx.doi.org/10.1109/ICEC.1997.592265http://www.complexity.org.au/ci/vol02/sr_hash/http://-/?-http://www.wsmo.org/http://www.wsmo.org/http://-/?-http://www.wsmo.org/http://www.wsmo.org/2004/d2/v0.1/20040214/


4/20

74 4 RE FE RE NC ES

1967. Online available at http://hdl.handle.net/2027.42/7321 [accessed 2008-10-17].Other Identifiers: UMR3370, ORA Project 08333, ID: bad1552.0001.001.

[1761] Paul L. Rosin and Freddy Fierens. Improving neural network generalisation. In Pro-ceedings of the International Geoscience and Remote Sensing Symposium, Quanti-tative Remote Sensing for Science and Applications, IGARSS95, volume 2, pages12551257. IEEE, July 1014, 1995, Florenz, Italy. ISBN: 0-7803-2567-2. INSPECAccession Number: 5112834. doi:10.1109/IGARSS.1995.521718. Online availableat http://citeseer.ist.psu.edu/165458.htmland http://users.cs.cf.ac.uk/Paul.Rosin/resources/papers/overfitting.pdf [accessed 2007-09-13].

[1762] Claudio Rossi, Elena Marchiori, and Joost N. Kok. An adaptive evolutionary al-gorithm for the satisfiability problem. In SAC00: Proceedings of the 2000 ACMsymposium on Applied computing, volume 1, pages 463469, 2000, Como, Italy. ACMPress, New York, NY, USA. ISBN: 1-5811-3240-9. doi:10.1145/335603.335912. Onlineavailable at http://doi.acm.org/10.1145/335603.335912and http://citeseer.ist.psu.edu/335101.html [accessed 2007-08-24].

[1763] Gerald P. Roston. A Genetic Methodology for Configuration Design. PhD thesis,

Department of Mechanical Engineering of Carnegie Mellon University, Pittsburgh,PA 15213-3891, USA, December 1994. Advisors: Rober Sturges, Jr. and WilliamRed Wittaker. Online available at http://citeseer.ist.psu.edu/213003.htmland http://www.ri.cmu.edu/pubs/pub_3335.html [accessed 2007-08-15].

[1764] Franz Rothlauf, editor. Late Breaking Papers at Genetic and Evolutionary Computa-tion Conference, GECCO 2005, June 2529, 2005, Loews LEnfant Plaza Hotel, 480Lenfant Plaza Sw, Washington, D.C. 20024, USA. See also [202, 199, 1766]. Alsodistributed on CD-ROM at GECCO-2005.

[1765] Franz Rothlauf. Representations for Genetic and Evolutionary Algorithms.Physica-Verlag, second edition, August 2002 (1st ed.), 2006 (2nd ed.). ISBN:978-3-79081-496-5, 3-5402-5059-X, 978-3-54025-059-3. Foreword by David E. Gold-berg. Partly online available at http://books.google.de/books?id=fQrSUwop4JkC[accessed 2008-02-27]

.[1766] Franz Rothlauf, Misty Blowers, Jurgen Branke, Stefano Cagnoni, Ivan I. Garibay,Ozlem Garibay, Jorn Grahl, Gregory Hornby, Edwin D. de Jong, Tim Kovacs, San- jeev Kumar, Claudio F. Lima, Xavier Llora, Fernando Lobo, Laurence D. Merkle,Julian Francis Miller, Jason H. Moore, Michael ONeill, Martin Pelikan, Terry P. Ri-opka, Marylyn D. Ritchie, Kumara Sastry, Stephen L. Smith, Hal Stringer, KeikiTakadama, Marc Toussaint, Stephen C. Upton, Alden H. Wright, and ShengxiangYang, editors. Proceedings of the 2005 workshops on Genetic and evolutionary com-putation, June 2526, 2005, Loews LEnfant Plaza Hotel, 480 Lenfant Plaza Sw,Washington, D.C. 20024, USA. ACM, New York, NY, USA. See also [202, 199, 1764].

[1767] Franz Rothlauf, Jurgen Branke, Stefano Cagnoni, David W. Corne, Rolf Drechsler,Yaochu Jin, Penousal Machado, Elena Marchiori, Juan Romero, George D. Smith,and Giovanni Squillero, editors. Applications of Evolutionary Computing, Proceedings

of EvoWorkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART,and EvoSTOC, volume 3449/2005 of Lecture Notes in Computer Science (LNCS),March 30April 1, 2005, Lausanne, Switzerland. Springer, Berlin / Heidelberg. ISBN:3-5402-5396-3, 978-3-54025-396-9.

[1768] Franz Rothlauf, Jurgen Branke, Stefano Cagnoni, Ernesto Costa, Carlos Cotta,Rolf Drechsler, Evelyne Lutton, Penousal Machado, Jason H. Moore, Juan Romero,George D. Smith, Giovanni Squillero, and Hideyuki Takagi, editors. Applicationsof Evolutionary Computing, Proceedings of EvoWorkshops 2006: EvoBIO, EvoCOM-NET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, vol-ume 3907/2006 of Lecture Notes in Computer Science (LNCS), April 1012, 2006,Budapest, Hungary. Springer, Berlin / Heidelberg. ISBN: 3-5403-3237-5.
http://hdl.handle.net/2027.42/7321http://books.google.com/books?as_isbn=0780325672http://dx.doi.org/10.1109/IGARSS.1995.521718http://dx.doi.org/10.1109/IGARSS.1995.521718http://citeseer.ist.psu.edu/165458.htmlhttp://users.cs.cf.ac.uk/Paul.Rosin/resources/papers/overfitting.pdfhttp://users.cs.cf.ac.uk/Paul.Rosin/resources/papers/overfitting.pdfhttp://books.google.com/books?as_isbn=1581132409http://dx.doi.org/10.1145/335603.335912http://dx.doi.org/10.1145/335603.335912http://dx.doi.org/10.1145/335603.335912http://doi.acm.org/10.1145/335603.335912http://citeseer.ist.psu.edu/335101.htmlhttp://citeseer.ist.psu.edu/335101.htmlhttp://citeseer.ist.psu.edu/213003.htmlhttp://www.ri.cmu.edu/pubs/pub_3335.htmlhttp://-/?-http://-/?-http://-/?-http://books.google.com/books?as_isbn=9783790814965http://books.google.com/books?as_isbn=354025059Xhttp://books.google.com/books?as_isbn=354025059Xhttp://books.google.com/books?as_isbn=9783540250593http://books.google.com/books?as_isbn=9783540250593http://books.google.de/books?id=fQrSUwop4JkChttp://-/?-http://-/?-http://-/?-http://books.google.com/books?as_isbn=3540253963http://books.google.com/books?as_isbn=3540253963http://books.google.com/books?as_isbn=9783540253969http://books.google.com/books?as_isbn=9783540253969http://books.google.com/books?as_isbn=3540332375http://books.google.com/books?as_isbn=3540332375http://books.google.com/books?as_isbn=9783540253969http://books.google.com/books?as_isbn=3540253963http://-/?-http://-/?-http://-/?-http://books.google.de/books?id=fQrSUwop4JkChttp://books.google.com/books?as_isbn=9783540250593http://books.google.com/books?as_isbn=354025059Xhttp://books.google.com/books?as_isbn=9783790814965http://-/?-http://-/?-http://-/?-http://www.ri.cmu.edu/pubs/pub_3335.htmlhttp://citeseer.ist.psu.edu/213003.htmlhttp://citeseer.ist.psu.edu/335101.htmlhttp://citeseer.ist.psu.edu/335101.htmlhttp://doi.acm.org/10.1145/335603.335912http://dx.doi.org/10.1145/335603.335912http://books.google.com/books?as_isbn=1581132409http://users.cs.cf.ac.uk/Paul.Rosin/resources/papers/overfitting.pdfhttp://users.cs.cf.ac.uk/Paul.Rosin/resources/papers/overfitting.pdfhttp://citeseer.ist.psu.edu/165458.htmlhttp://dx.doi.org/10.1109/IGARSS.1995.521718http://books.google.com/books?as_isbn=0780325672http://hdl.handle.net/2027.42/7321


5/20

RE FERE NC ES 7 45

[1769] Shad Roundy, Dan Steingart, Luc Frechette, Paul Wright, and Jan Rabaey. Powersources for wireless sensor networks. In EWSN 2004: European workshop on wire-less sensor networks No1, volume 2920/2004 of Lecture Notes in Computer Sci-ence (LNCS), pages 117. Springer Berlin / Heidelberg, 2004, Berlin, Germany.ISBN: 978-3-54020-825-9. Online available at http://www.eureka.gme.usherb.ca/memslab/docs/PowerReview-2.pdf [accessed 2007-08-01].

[1770] Dmitri Roussinov and Hsinchun Chen. Information navigation on the web byclustering and summarizing query results. Information Processing & Manage-ment, 37(6):789816, 2001. Online available at http://dx.doi.org/10.1016/S0306-4573(00)00062-5 [accessed 2007-08-11].

[1771] R. D. Routledge. Diversity indices: Which ones are admissible? Journal of TheoreticalBiology, 76(4):503515, February 21, 1979. doi:10.1016/0022-5193(79)90015-8. Onlineavailable at http://dx.doi.org/10.1016/0022-5193(79)90015-8 [accessed 2008-11-10].

[1772] J. P. Royston. Some techniques for assessing multivariate normality based on theShapiro-Wilk W. Applied Statistics, 32(2):121133, 1983. ISSN: 0035-9254.

[1773] William Michael Rudnick. Genetic algorithms and fitness variance with an appli-

cation to the automated design of artificial neural networks. PhD thesis, OregonGraduate Institute of Science & Technology, Beaverton, OR, USA, 1992. UMI OrderNo. GAX92-22642.

[1774] Gunter Rudolph. How mutation and selection solve long-path problems in polyno-mial expected time. Evolutionary Computation, 4(2):195205, Summer 1996. ISSN:1063-6560, 1530-9304. doi:10.1162/evco.1996.4.2.195. Online available at http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.2612 [accessed 2008-08-13].

[1775] Gunter Rudolph. Convergence Properties of Evolutionary Algorithms, volume 35of Forschungsergebnisse zur Informatik. Verlag Dr. Kovac, Fachverlag fur wis-senschaftliche Literatur, Hamburg, Germany, 1997. ISBN: 978-3-86064-554-3,3-8606-4554-4. PhD Thesis.

[1776] Gunter Rudolph. Self-adaptation and global convergence: A counter-example. In

Proceedings of the IEEE Congress on Evolutionary Computation, CEC99, volume 1,pages 646651, 1999. In proceedings [69]. Online available at http://ls11-www.cs.uni-dortmund.de/people/rudolph/publications/papers/CEC99.pdf andhttp://citeseer.comp.nus.edu.sg/272402.html [accessed 2008-02-24].

[1777] Gunter Rudolph. Self-adaptive mutations may lead to premature convergence. IEEETransactions on Evolutionary Computation, 5(4):410414, 2001. See also [1778].

[1778] Gunter Rudolph. Self-adaptive mutations may lead to premature convergence. Tech-nical Report CI73/99, Fachbereich Informatik, Universitat Dortmund, 44221 Dort-mund, Germany, April 30, 2001. Online available at http://citeseer.ist.psu.edu/444363.html [accessed 2007-07-28]. See also [1777].

[1779] Thomas Philip Runarsson, Hans-Georg Beyer, Edmund K. Burke, Juan J. MereloGuervos, L. Darrell Whitley, and Xin Yao, editors. Proceedings of 9th InternationalConference on Parallel Problem Solving from Nature PPSN IX, volume 4193/2006

of Lecture Notes in Computer Science (LNCS), September 913, 2006, Universityof Iceland, Reykjavik, Iceland. Springer. ISBN: 3-5403-8990-3, 978-3-54038-990-3.doi:10.1007/11844297. See http://ppsn2006.raunvis.hi.is/ [accessed 2007-09-05].

[1780] Stuart J. Russell and Peter Norvig. Artificial Intelligence: A Modern Approach.Prentice Hall, second edition, December 2002. ISBN: 0-1379-0395-2.

[1781] R. A. Rutenbar. Simulated annealing algorithms: an overview. IEEE Circuits andDevices Magazine, 5(1):1926, January 1989. doi:10.1109/101.17235.

[1782] Conor Ryan. Grammatical evolution tutorial. In Proceedings of Genetic and Evolu-tionary Computation Conference, GECCO 2006, 2006. In proceedings [352]. Onlineavailable at http://www.grammaticalevolution.org/tutorial.pdf [accessed 2007-09-09].
http://books.google.com/books?as_isbn=9783540208259http://books.google.com/books?as_isbn=9783540208259http://www.eureka.gme.usherb.ca/memslab/docs/PowerReview-2.pdfhttp://www.eureka.gme.usherb.ca/memslab/docs/PowerReview-2.pdfhttp://dx.doi.org/10.1016/S0306-4573(00)00062-5http://dx.doi.org/10.1016/S0306-4573(00)00062-5http://dx.doi.org/10.1016/0022-5193(79)90015-8http://dx.doi.org/10.1016/0022-5193(79)90015-8http://dx.doi.org/10.1016/0022-5193(79)90015-8http://dx.doi.org/10.1016/0022-5193(79)90015-8http://dx.doi.org/10.1162/evco.1996.4.2.195http://dx.doi.org/10.1162/evco.1996.4.2.195http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.2612http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.2612http://books.google.com/books?as_isbn=9783860645543http://books.google.com/books?as_isbn=9783860645543http://books.google.com/books?as_isbn=3860645544http://books.google.com/books?as_isbn=3860645544http://-/?-http://ls11-www.cs.uni-dortmund.de/people/rudolph/publications/papers/CEC99.pdfhttp://ls11-www.cs.uni-dortmund.de/people/rudolph/publications/papers/CEC99.pdfhttp://citeseer.comp.nus.edu.sg/272402.htmlhttp://-/?-http://citeseer.ist.psu.edu/444363.htmlhttp://citeseer.ist.psu.edu/444363.htmlhttp://-/?-http://books.google.com/books?as_isbn=3540389903http://books.google.com/books?as_isbn=9783540389903http://books.google.com/books?as_isbn=9783540389903http://dx.doi.org/10.1007/11844297http://dx.doi.org/10.1007/11844297http://dx.doi.org/10.1007/11844297http://ppsn2006.raunvis.hi.is/http://books.google.com/books?as_isbn=0137903952http://books.google.com/books?as_isbn=0137903952http://dx.doi.org/10.1109/101.17235http://dx.doi.org/10.1109/101.17235http://-/?-http://www.grammaticalevolution.org/tutorial.pdfhttp://www.grammaticalevolution.org/tutorial.pdfhttp://-/?-http://dx.doi.org/10.1109/101.17235http://books.google.com/books?as_isbn=0137903952http://ppsn2006.raunvis.hi.is/http://dx.doi.org/10.1007/11844297http://books.google.com/books?as_isbn=9783540389903http://books.google.com/books?as_isbn=3540389903http://-/?-http://citeseer.ist.psu.edu/444363.htmlhttp://citeseer.ist.psu.edu/444363.htmlhttp://-/?-http://citeseer.comp.nus.edu.sg/272402.htmlhttp://ls11-www.cs.uni-dortmund.de/people/rudolph/publications/papers/CEC99.pdfhttp://ls11-www.cs.uni-dortmund.de/people/rudolph/publications/papers/CEC99.pdfhttp://-/?-http://books.google.com/books?as_isbn=3860645544http://books.google.com/books?as_isbn=9783860645543http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.2612http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.2612http://dx.doi.org/10.1162/evco.1996.4.2.195http://dx.doi.org/10.1016/0022-5193(79)90015-8http://dx.doi.org/10.1016/0022-5193(79)90015-8http://dx.doi.org/10.1016/S0306-4573(00)00062-5http://dx.doi.org/10.1016/S0306-4573(00)00062-5http://www.eureka.gme.usherb.ca/memslab/docs/PowerReview-2.pdfhttp://www.eureka.gme.usherb.ca/memslab/docs/PowerReview-2.pdfhttp://books.google.com/books?as_isbn=9783540208259


6/20

74 6 RE FE RE NC ES

[1783] Conor Ryan and Michael ONeill. Grammatical evolution: A steady state approach. InLate Breaking Papers at the Genetic Programming 1998 Conference, 1998. In proceed-ings [1198]. Online available at http://citeseer.ist.psu.edu/260828.html andhttp://www.grammatical-evolution.org/papers/gp98/index.html [accessed 2007-09-

09].[1784] Conor Ryan, J. J. Collins, and Michael ONeill. Grammatical evolution: Evolving

programs for an arbitrary language. In Proceedings of the First European Work-shop on Genetic Programming, pages 8395, 1998. In proceedings [141]. Onlineavailable at http://www.grammatical-evolution.org/papers/eurogp98.ps andhttp://citeseer.ist.psu.edu/ryan98grammatical.html [accessed 2007-09-09].

[1785] Conor Ryan, Michael ONeill, and J. J. Collins. Grammatical evolution: Solvingtrigonometric identities. In Proceedings of Mendel 1998: 4th International MendelConference on Genetic Algorithms, Optimisation Problems, Fuzzy Logic, Neural Net-works, Rough Sets, pages 111119, 1998. In proceedings [2079]. Online available athttp://citeseer.ist.psu.edu/360445.html [accessed 2007-11-12].

[1786] Conor Ryan, Terence Soule, Maarten Keijzer, Edward P. K. Tsang, Riccardo Poli,

and Ernesto Costa, editors. Proceedings of the 6th European Conference on Ge-netic Programming, EuroGP 2003, volume 2610/2003 of Lecture Notes in ComputerScience (LNCS), April 14-16, 2003, Essex, UK. Springer Berlin/Heidelberg. ISBN:3-5400-0971-X.

S

[1787] Nikolaos V. Sahinidis and Mohit Tawarmalani. Applications of global optimizationto process and molecular design. Computers and Chemical Engineering, 24(9-10):21572169, October 1, 2000. Online available at http://citeseer.ist.psu.edu/397733.html [accessed 2007-09-01].

[1788] Sancho Salcedo-sanz and Xin Yao. A hybrid hopfield network-genetic algorithm ap-proach for the terminal assignment problem. IEEE Transactions on Systems, Manand Cybernetics, Part B, 34(6):23432353, December 2004. ISSN: 1083-4419. IN-SPEC Accession Number: 8207612. doi:10.1109/TSMCB.2004.836471. Online avail-able at http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.62.7879[accessed 2008-09-07].

[1789] Sancho Salcedo-Sanz and Xin Yao. Assignment of cells to switches in a cel-lular mobile network using a hybrid hopfield network-genetic algorithm ap-proach. Applied Soft Computing, 8(1):216224, January 2008. ISSN: 1568-4946.doi:10.1016/j.asoc.2007.01.002.

[1790] Sancho Salcedo-Sanz, Jose A. Portilla-Figueras, Emilio G. Ortiz-Garca, Angel M.Perez-Bellido, Christopher Thraves, Antonio Fernandez-Anta, and Xin Yao. Op-timal switch location in mobile communication networks using hybrid genetic al-

gorithms. Applied Soft Computing, 8(4):14861497, September 2008. ISSN: 1568-4946. doi:10.1016/j.asoc.2007.10.021. Soft Computing for Dynamic Data Mining. On-line available at http://nical.ustc.edu.cn/papers/asc2007b.pdf and http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.8731 [accessed 2008-09-01].

[1791] Abdellah Salhi, Hugh Glaser, and David De Roure. Parallel implementation of agenetic-programming based tool for symbolic regression. Technical Report DSSETechnical Reports: DSSE-TR-97-3, Declarative Systems & Software EngineeringGroup, Department of Electronics and Computer Science, University of Southamp-ton, Highfield, Southampton SO17 1BJ, United Kingdom, July 18, 1997. Seealso [1792]. Online available at http://www.dsse.ecs.soton.ac.uk/techreports/95-03/97-3.html [accessed 2007-09-09].

[1792] Abdellah Salhi, Hugh Glaser, and David De Roure. Parallel implementation of a

genetic-programming based tool for symbolic regression. Information Processing Let-
http://-/?-http://citeseer.ist.psu.edu/260828.htmlhttp://www.grammatical-evolution.org/papers/gp98/index.htmlhttp://-/?-http://www.grammatical-evolution.org/papers/eurogp98.pshttp://citeseer.ist.psu.edu/ryan98grammatical.htmlhttp://-/?-http://citeseer.ist.psu.edu/360445.htmlhttp://books.google.com/books?as_isbn=354000971Xhttp://citeseer.ist.psu.edu/397733.htmlhttp://citeseer.ist.psu.edu/397733.htmlhttp://dx.doi.org/10.1109/TSMCB.2004.836471http://dx.doi.org/10.1109/TSMCB.2004.836471http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.62.7879http://dx.doi.org/10.1016/j.asoc.2007.01.002http://dx.doi.org/10.1016/j.asoc.2007.01.002http://dx.doi.org/10.1016/j.asoc.2007.10.021http://dx.doi.org/10.1016/j.asoc.2007.10.021http://dx.doi.org/10.1016/j.asoc.2007.10.021http://nical.ustc.edu.cn/papers/asc2007b.pdfhttp://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.8731http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.8731http://-/?-http://www.dsse.ecs.soton.ac.uk/techreports/95-03/97-3.htmlhttp://www.dsse.ecs.soton.ac.uk/techreports/95-03/97-3.htmlhttp://www.dsse.ecs.soton.ac.uk/techreports/95-03/97-3.htmlhttp://www.dsse.ecs.soton.ac.uk/techreports/95-03/97-3.htmlhttp://-/?-http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.8731http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.8731http://nical.ustc.edu.cn/papers/asc2007b.pdfhttp://dx.doi.org/10.1016/j.asoc.2007.10.021http://dx.doi.org/10.1016/j.asoc.2007.01.002http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.62.7879http://dx.doi.org/10.1109/TSMCB.2004.836471http://citeseer.ist.psu.edu/397733.htmlhttp://citeseer.ist.psu.edu/397733.htmlhttp://books.google.com/books?as_isbn=354000971Xhttp://citeseer.ist.psu.edu/360445.htmlhttp://-/?-http://citeseer.ist.psu.edu/ryan98grammatical.htmlhttp://www.grammatical-evolution.org/papers/eurogp98.pshttp://-/?-http://www.grammatical-evolution.org/papers/gp98/index.htmlhttp://citeseer.ist.psu.edu/260828.htmlhttp://-/?-


7/20

RE FERE NC ES 7 47

ters, 66(6):299307, June 30, 1998. ISSN: 0020-0190. CODEN: IFPLAT. Online avail-able at http://dx.doi.org/10.1016/S0020-0190(98)00056-8 [accessed 2007-09-09]. Seealso [1791].

[1793] David Salomon. Assemblers and loaders. Ellis Horwood Series in Computers andTheir Applications. Ellis Horwood, Upper Saddle River, NJ, USA, February 1993.ISBN: 978-0-13052-564-2, 0-1305-2564-2.

[1794] Proceedings of the Eighth Joint Conference on Information Science (JCIS 2005),Section: The Sixth International Workshop on Frontiers in Evolutionary Algorithms(FEA 2005), July 2116, 2005, Salt Lake City Mariott City Center, Salt Lake City,Utah, USA. Workshop held in conjunction with Eighth Joint Conference on In-formation Sciences. See http://fs.mis.kuas.edu.tw/~cobol/JCIS2005/jcis05/Track4.html [accessed 2007-09-16].

[1795] Arthur L. Samuel. Some studies in machine learning using the game of checkers. IBMJournal of Research and Development, 3(3):210229, July 1959. See also [1796, 1797].Online available at http://www.research.ibm.com/journal/rd/033/ibmrd0303B.pdf [accessed 2008-10-14].

[1796] Arthur L. Samuel. Some studies in machine learning using the game of checkers. InEdward A. Feigenbaum and Julian Feldman, editors, Computers and Thought, pages71105. MIT Press, Cambridge, MA, USA, 1963 (1st ed), 1995 (reprint). ISBN:0-2625-6092-5, 978-0-26256-092-4. See also [1795, 1797].

[1797] Arthur L. Samuel. Some studies in machine learning using the game of checkersii recent progress. IBM Journal of Research and Development, 11(6):601617,November 1967. See also [1795]. Online available at http://www.research.ibm.com/journal/rd/116/ibmrd1106C.pdf and http://pages.cs.wisc.edu/~jerryzhu/cs540/handouts/samuel-checkers.pdf [accessed 2008-10-14].

[1798] Harilaos G. Sandalidis, Constandinos X. Mavromoustakis, and Peter P. Stavroulakis.Performance measures of an ant based decentralised routing scheme for circuitswitching communication networks. Soft Computing A Fusion of Foundations,

Methodologies and Applications, 5(4):313317, August 2001. ISSN: 1432-7643 (Print)1433-7479 (Online). doi:10.1007/s005000100104. Online available at http://www.springerlink.com/content/g1u7lygrugwk3nl5/fulltext.pdf [accessed 2008-09-03].

[1799] Yasuhito Sano and Hajime Kita. Optimization of noisy fitness functions by meansof genetic algorithms using history of search. In PPSN VI: Proceedings of the 6thInternational Conference on Parallel Problem Solving from Nature, pages 571580,2000. doi:10.1007/3-540-45356-3 56. In proceedings [1830].

[1800] Yasuhito Sano and Hajime Kita. Optimization of noisy fitness functions by meansof genetic algorithms using history of search with test of estimation. In Congress onEvolutionary Computation, pages 360365, 2002. In proceedings [703].

[1801] Bruno Sareni and Laurent Krahenbuhl. Fitness sharing and niching methods re-visited. IEEE Transactions on Evolutionary Computation, 2(3):97106, September1998. ISSN: 1089-778X. CODEN: ITEVF5. INSPEC Accession Number: 6114042.

doi:10.1109/4235.735432.[1802] Manish Sarkar. Evolutionary programming-based fuzzy clustering. In Evolutionary

Programming V: Proceedings of the Fifth Annual Conference on Evolutionary Pro-gramming, pages 247256, 1996. In proceedings [709].

[1803] Ruhul Sarker, Robert G. Reynolds, Hussein Abbass, Kay Chen Tan, Bob McKay,Daryl Leslie Essam, and Tom Gedeon, editors. Proceedings of the IEEE Congress onEvolutionary Computation, CEC2003, December 812, 2003, Canberra, Australia.IEEE Press, 445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA. ISBN:0-7803-7804-0. CEC 2003 A joint meeting of the IEEE, the IEAust, the EPS, andthe IEE.

[1804] Ruhul A. Sarker, Hussein Abbas, and Samin Karim. An evolutionary al-gorithm for constrained multiobjective optimization problems. In Proceedings
http://dx.doi.org/10.1016/S0020-0190(98)00056-8http://-/?-http://books.google.com/books?as_isbn=9780130525642http://books.google.com/books?as_isbn=9780130525642http://books.google.com/books?as_isbn=0130525642http://books.google.com/books?as_isbn=0130525642http://fs.mis.kuas.edu.tw/~cobol/JCIS2005/jcis05/Track4.htmlhttp://fs.mis.kuas.edu.tw/~cobol/JCIS2005/jcis05/Track4.htmlhttp://fs.mis.kuas.edu.tw/~cobol/JCIS2005/jcis05/Track4.htmlhttp://fs.mis.kuas.edu.tw/~cobol/JCIS2005/jcis05/Track4.htmlhttp://-/?-http://-/?-http://www.research.ibm.com/journal/rd/033/ibmrd0303B.pdfhttp://www.research.ibm.com/journal/rd/033/ibmrd0303B.pdfhttp://books.google.com/books?as_isbn=0262560925http://books.google.com/books?as_isbn=0262560925http://books.google.com/books?as_isbn=9780262560924http://books.google.com/books?as_isbn=9780262560924http://-/?-http://-/?-http://-/?-http://www.research.ibm.com/journal/rd/116/ibmrd1106C.pdfhttp://www.research.ibm.com/journal/rd/116/ibmrd1106C.pdfhttp://pages.cs.wisc.edu/~jerryzhu/cs540/handouts/samuel-checkers.pdfhttp://pages.cs.wisc.edu/~jerryzhu/cs540/handouts/samuel-checkers.pdfhttp://pages.cs.wisc.edu/~jerryzhu/cs540/handouts/samuel-checkers.pdfhttp://pages.cs.wisc.edu/~jerryzhu/cs540/handouts/samuel-checkers.pdfhttp://dx.doi.org/10.1007/s005000100104http://dx.doi.org/10.1007/s005000100104http://www.springerlink.com/content/g1u7lygrugwk3nl5/fulltext.pdfhttp://www.springerlink.com/content/g1u7lygrugwk3nl5/fulltext.pdfhttp://dx.doi.org/10.1007/3-540-45356-3_56http://dx.doi.org/10.1007/3-540-45356-3_56http://-/?-http://-/?-http://dx.doi.org/10.1109/4235.735432http://dx.doi.org/10.1109/4235.735432http://-/?-http://books.google.com/books?as_isbn=0780378040http://books.google.com/books?as_isbn=0780378040http://books.google.com/books?as_isbn=0780378040http://-/?-http://dx.doi.org/10.1109/4235.735432http://-/?-http://-/?-http://dx.doi.org/10.1007/3-540-45356-3_56http://www.springerlink.com/content/g1u7lygrugwk3nl5/fulltext.pdfhttp://www.springerlink.com/content/g1u7lygrugwk3nl5/fulltext.pdfhttp://dx.doi.org/10.1007/s005000100104http://pages.cs.wisc.edu/~jerryzhu/cs540/handouts/samuel-checkers.pdfhttp://pages.cs.wisc.edu/~jerryzhu/cs540/handouts/samuel-checkers.pdfhttp://www.research.ibm.com/journal/rd/116/ibmrd1106C.pdfhttp://www.research.ibm.com/journal/rd/116/ibmrd1106C.pdfhttp://-/?-http://-/?-http://-/?-http://books.google.com/books?as_isbn=9780262560924http://books.google.com/books?as_isbn=0262560925http://www.research.ibm.com/journal/rd/033/ibmrd0303B.pdfhttp://www.research.ibm.com/journal/rd/033/ibmrd0303B.pdfhttp://-/?-http://-/?-http://fs.mis.kuas.edu.tw/~cobol/JCIS2005/jcis05/Track4.htmlhttp://fs.mis.kuas.edu.tw/~cobol/JCIS2005/jcis05/Track4.htmlhttp://books.google.com/books?as_isbn=0130525642http://books.google.com/books?as_isbn=9780130525642http://-/?-http://dx.doi.org/10.1016/S0020-0190(98)00056-8


8/20

74 8 RE FE RE NC ES

of the 5th Australia-Japan Joint Workshop on Intelligent & Evolutionary Sys-tems (AJWIS2001), pages 113122, November 2001, The University of Otago,Dunedin, New Zealand. Online available at http://www.lania.mx/~ccoello/EMOO/sarker01a.pdf.gz and http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.995 [accessed 2008-11-14].

[1805] Warren Sarle. What is overfitting and how can i avoid it? Usenet FAQs:comp.ai.neural-nets FAQ, 3: Generalization(3), May 13, 2007. Online available athttp://www.faqs.org/faqs/ai-faq/neural-nets/part3/section-3.html [accessed

2008-02-29].[1806] Warren S. Sarle. Stopped training and other remedies for overfitting. In Proceedings

of the 27th Symposium on the Interface: Computing Science and Statistics , pages 352360, June 23, 1995, Pittsburgh, Pennsylvania. Online available at http://citeseer.ist.psu.edu/71530.html and ftp://ftp.sas.com/pub/neural/inter95.ps.Z [ac-cessed 2007-09-13].

[1807] Stefan Saroiu, P. Krishna Gummadi, and Steven Gribble. A measurement studyof peer-to-peer file sharing systems. In SPIE Multimedia Computing and Net-

working (MMCN2002), January 2002, San Jose, CA, USA. Online available athttp://www.cs.washington.edu/homes/gribble/papers/mmcn.pdf and http://citeseer.ist.psu.edu/saroiu02measurement.html [accessed 2007-08-13].

[1808] Takahiro Sasaki and Mario Tokoro. Comparison between lamarckian and dar-winian evolution on a model using neural networks and genetic algorithms. Knowl-edge and Information Systems, 2(2):201222, June 2000. ISSN: 0219-1377 (Print)0219-3116 (Online). doi:10.1007/s101150050011. Online available at http://www.springerlink.com/content/08frl0vbnxj05tak/fulltext.pdf [accessed 2008-11-10].

[1809] Kumara Sastry and David E. Goldberg. Modeling tournament selection with replace-ment using apparent added noise. In Proceedings of the Genetic and EvolutionaryComputation Conference (GECCO-2001), page 781, 2001. In proceedings [1937].Also: IlliGAL report 2001014, January 2001, Illinois Genetic Algorithms Labora-

tory (IlliGAL), Department of General Engineering, University of Illinois at Urbana-Champaign, Online available at http://citeseer.ist.psu.edu/439887.html andhttp://citeseer.ist.psu.edu/501944.html [accessed 2007-08-25].

[1810] Kumara Sastry and David E. Goldberg. Lets get ready to rumble redux: crossoverversus mutation head to head on exponentially scaled problems. In GECCO07:Proceedings of the 9th annual conference on Genetic and evolutionary computation,pages 13801387, 2007. doi:10.1145/1276958.1277215. In proceedings [2037]. Onlineavailable at http://doi.acm.org/10.1145/1276958.1277215 [accessed 2008-07-21]. Seealso [1811].

[1811] Kumara Sastry and David E. Goldberg. Lets get ready to rumble redux: Crossoverversus mutation head to head on exponentially scaled problems. IlliGAL Re-port 2007005, Illinois Genetic Algorithms Laboratory (IlliGAL), University of Illi-nois, Urbana-Champaign, Urbana IL, USA, February 11, 2007. Online available at

http://www.illigal.uiuc.edu/pub/papers/IlliGALs/2007005.pdf [accessed 2008-07-

21]. See also [1810].[1812] Suresh Chandra Satapathy, Jvr Murthy, P. V. G. D. Prasada Reddy, Venkatesh

Katari, Satish Malireddi, and V. N. K. Srujan Kollisetty. An efficient hybrid algo-rithm for data clustering using improved genetic algorithm and nelder mead simplexsearch. In ICCIMA07: Proceedings of the International Conference on Computa-tional Intelligence and Multimedia Applications (ICCIMA 2007), pages 498510, De-cember 1315, 2007, Sivakasi, Tamil Nadu, India. IEEE Computer Society, Wash-ington, DC, USA. ISBN: 0-7695-3050-8. INSPEC Accession Number: 9895376.doi:10.1109/ICCIMA.2007.68.

[1813] Shinji Sato. Simulated quenching: a new placement method for module gen-eration. In ICCAD97: Proceedings of the 1997 IEEE/ACM international
http://www.lania.mx/~ccoello/EMOO/sarker01a.pdf.gzhttp://www.lania.mx/~ccoello/EMOO/sarker01a.pdf.gzhttp://www.lania.mx/~ccoello/EMOO/sarker01a.pdf.gzhttp://www.lania.mx/~ccoello/EMOO/sarker01a.pdf.gzhttp://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.995http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.995http://www.faqs.org/faqs/ai-faq/neural-nets/part3/section-3.htmlhttp://citeseer.ist.psu.edu/71530.htmlhttp://citeseer.ist.psu.edu/71530.htmlftp://ftp.sas.com/pub/neural/inter95.ps.Zhttp://www.cs.washington.edu/homes/gribble/papers/mmcn.pdfhttp://citeseer.ist.psu.edu/saroiu02measurement.htmlhttp://citeseer.ist.psu.edu/saroiu02measurement.htmlhttp://dx.doi.org/10.1007/s101150050011http://dx.doi.org/10.1007/s101150050011http://www.springerlink.com/content/08frl0vbnxj05tak/fulltext.pdfhttp://www.springerlink.com/content/08frl0vbnxj05tak/fulltext.pdfhttp://-/?-http://citeseer.ist.psu.edu/439887.htmlhttp://citeseer.ist.psu.edu/501944.htmlhttp://dx.doi.org/10.1145/1276958.1277215http://dx.doi.org/10.1145/1276958.1277215http://-/?-http://doi.acm.org/10.1145/1276958.1277215http://-/?-http://www.illigal.uiuc.edu/pub/papers/IlliGALs/2007005.pdfhttp://-/?-http://books.google.com/books?as_isbn=0769530508http://dx.doi.org/10.1109/ICCIMA.2007.68http://dx.doi.org/10.1109/ICCIMA.2007.68http://dx.doi.org/10.1109/ICCIMA.2007.68http://books.google.com/books?as_isbn=0769530508http://-/?-http://www.illigal.uiuc.edu/pub/papers/IlliGALs/2007005.pdfhttp://-/?-http://doi.acm.org/10.1145/1276958.1277215http://-/?-http://dx.doi.org/10.1145/1276958.1277215http://citeseer.ist.psu.edu/501944.htmlhttp://citeseer.ist.psu.edu/439887.htmlhttp://-/?-http://www.springerlink.com/content/08frl0vbnxj05tak/fulltext.pdfhttp://www.springerlink.com/content/08frl0vbnxj05tak/fulltext.pdfhttp://dx.doi.org/10.1007/s101150050011http://citeseer.ist.psu.edu/saroiu02measurement.htmlhttp://citeseer.ist.psu.edu/saroiu02measurement.htmlhttp://www.cs.washington.edu/homes/gribble/papers/mmcn.pdfftp://ftp.sas.com/pub/neural/inter95.ps.Zhttp://citeseer.ist.psu.edu/71530.htmlhttp://citeseer.ist.psu.edu/71530.htmlhttp://www.faqs.org/faqs/ai-faq/neural-nets/part3/section-3.htmlhttp://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.995http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.995http://www.lania.mx/~ccoello/EMOO/sarker01a.pdf.gzhttp://www.lania.mx/~ccoello/EMOO/sarker01a.pdf.gz


9/20

RE FERE NC ES 7 49

conference on Computer-aided design, pages 538541, 1997, San Jose, Califor-nia, United States. IEEE Computer Society, Washington, DC, USA. ISBN:0-8186-8200-0. doi:10.1109/ICCAD.1997.643591. Online available at http://www.sigda.org/Archives/ProceedingArchives/Iccad/Iccad97/papers/1997/

iccad97/pdffiles/09c_2.pdf and http://portal.acm.org/ft_gateway.cfm?id=266547&type=pdf&coll=GUIDE&dl=GUIDE&CFID=61186331&CFTOKEN=74233409

[accessed 2008-03-27].[1814] Toshiyuki Satoh, Tadashi Ishihara, and Hikaru Inooka. Systematic design via the

method of inequalities. Control Systems Magazine, IEEE, 16(5):5765, October 1996.ISSN: 0272-1708. CODEN: ISMAD7. doi:10.1109/37.537209.

[1815] F. E. Satterthwaite. Random balance experimentation. Technometrics, 1(2):111137,May 1959.

[1816] F. E. Satterthwaite. Revop or random evolutionary operation. Merrimack CollegeTechnical Report 10-10-59, Merriam College, North Andover, Massachusetts, USA,1959.

[1817] Bruce J. Schachter, Larry S. Davis, and Azriel Rosenfeld. Some experiments in image

segmentation by clustering of local feature values. Pattern Recognition, 11(1):1928,1979.

[1818] Daniel L. Schacter. Critical review implicit memory: history and current status.Journal of Experimental Psychology: Learning, Memory, and Cognition, 13(3):501518, July 1987. ISSN: 0278-7393. Online available at http://pages.pomona.edu/

~rt004747/lgcs11read/Schacter87.pdf [accessed 2008-12-01].[1819] Robert Schaefer and Henryk Telega. Foundations of Global Genetic Optimization,

volume 74/2007 of Studies in Computational Intelligence. Springer Berlin / Heidel-berg, 2007. ISBN: 978-3-54073-191-7. doi:10.1007/978-3-540-73192-4. Series editor:Janusz Kacprzyk.

[1820] J. David Schaffer, editor. Proceedings of the 3rd International Conference on GeneticAlgorithms, June 1989, George Mason University, Fairfax, Virginia, USA. Morgan

Kaufmann Publishers Inc., San Francisco, CA, USA. ISBN: 1-5586-0066-3.[1821] J. David Schaffer. Multiple Objective Optimization with Vector Evaluated GeneticAlgorithms. PhD thesis, Vanderbilt University, 1984.

[1822] J. David Schaffer. Multiple objective optimization with vector evaluated geneticalgorithms. In Proceedings of the 1st International Conference on Genetic Algorithmsand Their Applications, pages 93100, 1985. In proceedings [856].

[1823] J. David Schaffer and Darell Whitley, editors. Proceedings of COGANN-92. In-ternational Workshop on Combinations of GeneticAlgorithms and Neural Net-works, June 6, 1992, Baltimore, Maryland, USA. IEEE Computer Society Press.ISBN: 0-8186-2787-5, 978-0-81862-787-3. INSPEC Accession Number: 4487943.doi:10.1109/COGANN.1992.273951. Cat. No.92TH0435-8.

[1824] J. David Schaffer, Larry J. Eshelman, and Daniel Offutt. Spurious correlations andpremature convergence in genetic algorithms. In Proceedings of the First Workshop

on Foundations of Genetic Algorithms (FOGA), pages 102112, 1990. In proceedings[1924].

[1825] Robert E. Schapire. The strength of weak learnability. Machine Learning, 5:197227,June 1990. ISSN: 0885-6125 (Print) 1573-0565 (Online). doi:10.1007/BF00116037.Online available at http://www.springerlink.com/content/x02406w7q5038735/fulltext.pdf and http://citeseer.ist.psu.edu/schapire90strength.html [ac-cessed 2007-09-15].

[1826] Robert E. Schapire, Yoav Freund, Peter Bartlett, and Wee Sun Lee. Boosting themargin: a new explanation for the effectiveness of voting methods. In Proceedings14th International Conference on Machine Learning, pages 322330. Morgan Kauf-mann, July 1997, Nashville, Tennessee, USA. ISBN: 1-5586-0486-3. Online available
http://books.google.com/books?as_isbn=0818682000http://books.google.com/books?as_isbn=0818682000http://dx.doi.org/10.1109/ICCAD.1997.643591http://dx.doi.org/10.1109/ICCAD.1997.643591http://www.sigda.org/Archives/ProceedingArchives/Iccad/Iccad97/papers/1997/iccad97/pdffiles/09c_2.pdfhttp://www.sigda.org/Archives/ProceedingArchives/Iccad/Iccad97/papers/1997/iccad97/pdffiles/09c_2.pdfhttp://www.sigda.org/Archives/ProceedingArchives/Iccad/Iccad97/papers/1997/iccad97/pdffiles/09c_2.pdfhttp://portal.acm.org/ft_gateway.cfm?id=266547&type=pdf&coll=GUIDE&dl=GUIDE&CFID=61186331&CFTOKEN=74233409http://portal.acm.org/ft_gateway.cfm?id=266547&type=pdf&coll=GUIDE&dl=GUIDE&CFID=61186331&CFTOKEN=74233409http://dx.doi.org/10.1109/37.537209http://dx.doi.org/10.1109/37.537209http://pages.pomona.edu/~rt004747/lgcs11read/Schacter87.pdfhttp://pages.pomona.edu/~rt004747/lgcs11read/Schacter87.pdfhttp://pages.pomona.edu/~rt004747/lgcs11read/Schacter87.pdfhttp://books.google.com/books?as_isbn=9783540731917http://books.google.com/books?as_isbn=9783540731917http://dx.doi.org/10.1007/978-3-540-73192-4http://dx.doi.org/10.1007/978-3-540-73192-4http://books.google.com/books?as_isbn=1558600663http://books.google.com/books?as_isbn=1558600663http://-/?-http://books.google.com/books?as_isbn=0818627875http://books.google.com/books?as_isbn=9780818627873http://books.google.com/books?as_isbn=9780818627873http://dx.doi.org/10.1109/COGANN.1992.273951http://dx.doi.org/10.1109/COGANN.1992.273951http://-/?-http://dx.doi.org/10.1007/BF00116037http://dx.doi.org/10.1007/BF00116037http://www.springerlink.com/content/x02406w7q5038735/fulltext.pdfhttp://www.springerlink.com/content/x02406w7q5038735/fulltext.pdfhttp://citeseer.ist.psu.edu/schapire90strength.htmlhttp://books.google.com/books?as_isbn=1558604863http://books.google.com/books?as_isbn=1558604863http://books.google.com/books?as_isbn=1558604863http://citeseer.ist.psu.edu/schapire90strength.htmlhttp://www.springerlink.com/content/x02406w7q5038735/fulltext.pdfhttp://www.springerlink.com/content/x02406w7q5038735/fulltext.pdfhttp://dx.doi.org/10.1007/BF00116037http://-/?-http://dx.doi.org/10.1109/COGANN.1992.273951http://books.google.com/books?as_isbn=9780818627873http://books.google.com/books?as_isbn=0818627875http://-/?-http://books.google.com/books?as_isbn=1558600663http://dx.doi.org/10.1007/978-3-540-73192-4http://books.google.com/books?as_isbn=9783540731917http://pages.pomona.edu/~rt004747/lgcs11read/Schacter87.pdfhttp://pages.pomona.edu/~rt004747/lgcs11read/Schacter87.pdfhttp://dx.doi.org/10.1109/37.537209http://portal.acm.org/ft_gateway.cfm?id=266547&type=pdf&coll=GUIDE&dl=GUIDE&CFID=61186331&CFTOKEN=74233409http://portal.acm.org/ft_gateway.cfm?id=266547&type=pdf&coll=GUIDE&dl=GUIDE&CFID=61186331&CFTOKEN=74233409http://www.sigda.org/Archives/ProceedingArchives/Iccad/Iccad97/papers/1997/iccad97/pdffiles/09c_2.pdfhttp://www.sigda.org/Archives/ProceedingArchives/Iccad/Iccad97/papers/1997/iccad97/pdffiles/09c_2.pdfhttp://www.sigda.org/Archives/ProceedingArchives/Iccad/Iccad97/papers/1997/iccad97/pdffiles/09c_2.pdfhttp://dx.doi.org/10.1109/ICCAD.1997.643591http://books.google.com/books?as_isbn=0818682000


10/20

75 0 RE FE RE NC ES

at http://citeseer.ist.psu.edu/schapire97boosting.html [accessed 2007-09-15]. Seealso [156].

[1827] R. Schilling, W. Haase, J. Periaux, and H. Baier, editors. Proceedings of theSixth Conference on Evolutionary and Deterministic Mehtods for Design, Optimiza-tion and Control with Applications to Indutsrial and Societal Problems, EURO-GEN2005, September 1214, 2005, TU Munchen, Munich, Germany. TU Munchen.in association with ECCOMAS and ERCOFTAC. See http://www.flm.mw.tum.de/EUROGEN05/ [accessed 2007-09-16].

[1828] Jurgen Schmidhuber. Evolutionary principles in self-referential learning. (on learninghow to learn: The meta-meta-... hook.). Masters thesis, Institut fur Informatik,Technische Universitat Munchen, Munich, Germany, May 14, 1987. Online availableat http://www.idsia.ch/~juergen/diploma.html [accessed 2007-11-01].

[1829] Johannes J. Schneider and Scott Kirkpatrick, editors. Tabu Search Applied toTSP, chapter part II (Applications), chapter 1, pages 441447. Scientific Computa-tion. Springer Berlin Heidelberg, 2006. ISBN: 978-3-54034-559-6, 978-3-54034-560-2.doi:10.1007/978-3-540-34560-2 42.

[1830] Marc Schoenauer, Kalyanmoy Deb, Gunter Rudolph, Xin Yao, Evelyne Lutton,Juan J. Merelo Guervos, and Hans-Paul Schwefel, editors. Proceedings of the6th International Conference on Parallel Problem Solving from Nature PPSNVI, volume 1917/2000 of Lecture Notes in Computer Science (LNCS), Septem-ber 1820, 2000, Paris, France. Springer. ISBN: 3-5404-1056-2, 978-3-54041-056-0.doi:10.1007/3-540-45356-3. Partly online available at http://books.google.de/books?id=gI26Cld2BY0C [accessed 2008-09-10].

[1831] Eberhard Schoneburg, Frank Heinzmann, and Sven Feddersen. Genetische Algorith-men und Evolutionsstrategien. Addison Wesley Verlag, 1993. ISBN: 3-8931-9493-2,978-3-89319-493-3.

[1832] Ruud Schoonderwoerd. Collective intelligence for network control. Masters the-sis, Delft University of Technology, Faculty of Technical Mathematics and Informat-

ics, May 30, 1996. Online available at http://staff.washington.edu/paymana/swarm/schoon96-thesis.pdf [accessed 2008-06-12]. Graduation committee: Prof. dr. H.Koppelaar, Prof. dr. ir. E.J.H. Kerckhoffs, Drs. dr. L.J.M. Rothkrantz, and J.L.Bruten M.Sc.

[1833] Ruud Schoonderwoerd, Owen E. Holland, Janet L. Bruten, and Leon J. M.Rothkrantz. Ant-based load balancing in telecommunications networks. Adap-tive Behavior, 5(2):169207, Fall 1996. Online available at http://citeseer.ist.psu.edu/schoonderwoerd96antbased.html and http://www.ifi.unizh.ch/ailab/teaching/FG06/ [accessed 2007-08-19].

[1834] Ruud Schoonderwoerd, Owen E. Holland, and Janet L. Bruten. Ant-like agents forload balancing in telecommunications networks. In Jorg Mller, editor, AGENTS97:Proceedings of the first international conference on Autonomous agents, pages 209216, February 58 1997, Marina del Rey, California, United States. ACM, New York,

NY, USA. ISBN: 0-8979-1877-0. doi:10.1145/267658.267718. Online available athttp://staff.washington.edu/paymana/swarm/schoon97-icaa.pdf and http://doi.acm.org/10.1145/267658.267718 [accessed 2008-07-26]. Slides online available at[accessed 2008-07-26]. See also http://sigart.acm.org/proceedings/agents97/ [accessed2008-07-26].

[1835] Herb Schorr and Alain T. Rappaport, editors. Proceedings of the The First Conferenceon Innovative Applications of Artificial Intelligence (IAAI-89), March 2830, 1989,Stanford University, Stanford, California, USA. AAAI. ISBN: 978-0-26269-137-6.Published in 1991. See http://www.aaai.org/Conferences/IAAI/iaai89.php [ac-cessed 2007-09-06].

[1836] Nicol N. Schraudolph and Richard K. Belew. Dynamic parameter encoding for ge-netic algorithms. Machine Learning, 9:921, June 1992. ISSN: 0885-6125 (Print) 1573-
http://citeseer.ist.psu.edu/schapire97boosting.htmlhttp://-/?-http://www.flm.mw.tum.de/EUROGEN05/http://www.flm.mw.tum.de/EUROGEN05/http://www.idsia.ch/~juergen/diploma.htmlhttp://www.idsia.ch/~juergen/diploma.htmlhttp://www.idsia.ch/~juergen/diploma.htmlhttp://books.google.com/books?as_isbn=9783540345596http://books.google.com/books?as_isbn=9783540345596http://books.google.com/books?as_isbn=9783540345602http://books.google.com/books?as_isbn=9783540345602http://dx.doi.org/10.1007/978-3-540-34560-2_42http://dx.doi.org/10.1007/978-3-540-34560-2_42http://books.google.com/books?as_isbn=3540410562http://books.google.com/books?as_isbn=3540410562http://books.google.com/books?as_isbn=9783540410560http://books.google.com/books?as_isbn=9783540410560http://dx.doi.org/10.1007/3-540-45356-3http://dx.doi.org/10.1007/3-540-45356-3http://dx.doi.org/10.1007/3-540-45356-3http://books.google.de/books?id=gI26Cld2BY0Chttp://books.google.de/books?id=gI26Cld2BY0Chttp://books.google.com/books?as_isbn=3893194932http://books.google.com/books?as_isbn=3893194932http://books.google.com/books?as_isbn=9783893194933http://staff.washington.edu/paymana/swarm/schoon96-thesis.pdfhttp://staff.washington.edu/paymana/swarm/schoon96-thesis.pdfhttp://citeseer.ist.psu.edu/schoonderwoerd96antbased.htmlhttp://citeseer.ist.psu.edu/schoonderwoerd96antbased.htmlhttp://www.ifi.unizh.ch/ailab/teaching/FG06/http://www.ifi.unizh.ch/ailab/teaching/FG06/http://books.google.com/books?as_isbn=0897918770http://dx.doi.org/10.1145/267658.267718http://dx.doi.org/10.1145/267658.267718http://staff.washington.edu/paymana/swarm/schoon97-icaa.pdfhttp://doi.acm.org/10.1145/267658.267718http://doi.acm.org/10.1145/267658.267718http://sigart.acm.org/proceedings/agents97/http://books.google.com/books?as_isbn=9780262691376http://books.google.com/books?as_isbn=9780262691376http://www.aaai.org/Conferences/IAAI/iaai89.phphttp://www.aaai.org/Conferences/IAAI/iaai89.phphttp://books.google.com/books?as_isbn=9780262691376http://sigart.acm.org/proceedings/agents97/http://doi.acm.org/10.1145/267658.267718http://doi.acm.org/10.1145/267658.267718http://staff.washington.edu/paymana/swarm/schoon97-icaa.pdfhttp://dx.doi.org/10.1145/267658.267718http://books.google.com/books?as_isbn=0897918770http://www.ifi.unizh.ch/ailab/teaching/FG06/http://www.ifi.unizh.ch/ailab/teaching/FG06/http://citeseer.ist.psu.edu/schoonderwoerd96antbased.htmlhttp://citeseer.ist.psu.edu/schoonderwoerd96antbased.htmlhttp://staff.washington.edu/paymana/swarm/schoon96-thesis.pdfhttp://staff.washington.edu/paymana/swarm/schoon96-thesis.pdfhttp://books.google.com/books?as_isbn=9783893194933http://books.google.com/books?as_isbn=3893194932http://books.google.de/books?id=gI26Cld2BY0Chttp://books.google.de/books?id=gI26Cld2BY0Chttp://dx.doi.org/10.1007/3-540-45356-3http://books.google.com/books?as_isbn=9783540410560http://books.google.com/books?as_isbn=3540410562http://dx.doi.org/10.1007/978-3-540-34560-2_42http://books.google.com/books?as_isbn=9783540345602http://books.google.com/books?as_isbn=9783540345596http://www.idsia.ch/~juergen/diploma.htmlhttp://www.flm.mw.tum.de/EUROGEN05/http://www.flm.mw.tum.de/EUROGEN05/http://-/?-http://citeseer.ist.psu.edu/schapire97boosting.html


11/20

RE FERE NC ES 7 51

0565 (Online). doi:10.1023/A:1022624728869. Online available at http://citeseer.ist.psu.edu/schraudolph92dynamic.html and http://www.springerlink.com/content/u68407l468r0x423/fulltext.pdf [accessed 2007-08-29]. UCSD Technical Re-port CS90-175, LANL Technical Report LAUR 90-2795.

[1837] Crystal Schuil, Matthew Valente, Justin Werfel, and Radhika Nagpal. Collective con-struction using lego robots. In Annual National Conference on Artificial Intelligence(AAAI), Robot Exhibition, 2006. In proceedings [805]. Online available at http://www.eecs.harvard.edu/~rad/ssr/papers/aaai06-schuil.pdf [accessed 2008-06-12].

[1838] Michael A. Schumer. Optimization by adaptive random search. PhD thesis, PrincetonUniversity, NJ, November 1967. Supervisor Kenneth Steiglitz.

[1839] Michael A. Schumer and Kenneth Steiglitz. Adaptive step size random search. IEEETransactions on Automatic Control, AC-13(3):270276, June 1968.

[1840] Hans-Paul Schwefel. Numerical Optimization of Computer Models. John Wi-ley and Sons Ltd, New York, NY, USA, June 17, 1981. ISBN: 0-4710-9988-0,978-0-47109-988-8.

[1841] Hans-Paul Schwefel. Evolution and Optimum Seeking: The Sixth Generation.

John Wiley & Sons, Inc., Wiley Interscience, New York, NY, USA, 1993. ISBN:0-4715-7148-2, 978-0-47157-148-3. Har/Dsk edition, January 1995.

[1842] Hans-Paul Schwefel and Reinhard Manner, editors. Proceedings of the 1st Work-shop on Parallel Problem Solving from Nature, PPSN I, volume 496/1991 of LectureNotes in Computer Science (LNCS), October 13, 1990, FRG, Dortmund, Germany.Springer. ISBN: 3-5405-4148-9, 978-3-54054-148-6. doi:10.1007/BFb0029723. Pub-lished 1991. See http://ls11-www.informatik.uni-dortmund.de/PPSN/ppsn1/ppsn1.html [accessed 2007-09-05].

[1843] Katja Schwieger, Heinrich Nuszkowski, and Gerhard Fettweis. Analysis of node en-ergy consumption in sensor networks. In Holger Karl, Andreas Willig, and AdamWolisz, editors, Proceedings of Wireless Sensor Networks, First European Workshop(EWSN), volume 2920 of Lecture Notes in Computer Science (LNCS), pages 94

105. Springer, January 1921, 2004, Berlin, Germany. ISBN: 3-5402-0825-9. Onlineavailable at http://citeseer.ist.psu.edu/634903.html [accessed 2007-08-01].[1844] A. Carlisle Scott and Philip Klahr, editors. Proceedings of the The Fourth Conference

on Innovative Applications of Artificial Intelligence (IAAI-92), July 1216, 1992, SanJose, California, USA. AAAI. ISBN: 0-2626-9155-8. See http://www.aaai.org/Conferences/IAAI/iaai912.php [accessed 2007-09-06].

[1845] David W. Scott. Multivariate Density Estimation: Theory, Practice, and Visualiza-tion. Wiley Series in Probability and Statistics. Wiley-Interscience, John Wiley &Sons, August 1992. ISBN: 0-4715-4770-0.

[1846] Colin C. Seaton and Maryjane Tremayne. Differential evolution: crystal struc-ture determination of a triclinic polymorph of adipamide from powder diffrac-tion data. Chemical Communications (Camb)., 880(8):1, April 2002. On-line available at http://www.rsc.org/Publishing/Journals/CC/article.asp?

doi=b200436d [accessed 2007-08-13].[1847] Ninth International Workshop on Learning Classifier Systems (IWLCS 2006), July 8

9, 2006, Seattle, WA, USA. Held during GECCO-2006 (see also [352]).[1848] Seventh International Workshop on Learning Classifier Systems (IWLCS-2004),

June 26, 2004, Seattle, Washington, USA. Held during GECCO-2004 (see also[544, 545]). See also [1181].

[1849] A.V. Sebald and Lawrence Jerome Fogel, editors. Proceedings of the 3rd AnnualConference on Evolutionary Programming, 1994. World Scientific Publishing, RiverEdge, NJ.

[1850] Robert Sedgewick. Algorithms in Java, Parts 1-4. Addison Wesley, third edition,September 2002. ISBN: 0-2013-6120-5.
http://dx.doi.org/10.1023/A:1022624728869http://dx.doi.org/10.1023/A:1022624728869http://dx.doi.org/10.1023/A:1022624728869http://citeseer.ist.psu.edu/schraudolph92dynamic.htmlhttp://citeseer.ist.psu.edu/schraudolph92dynamic.htmlhttp://www.springerlink.com/content/u68407l468r0x423/fulltext.pdfhttp://www.springerlink.com/content/u68407l468r0x423/fulltext.pdfhttp://-/?-http://www.eecs.harvard.edu/~rad/ssr/papers/aaai06-schuil.pdfhttp://www.eecs.harvard.edu/~rad/ssr/papers/aaai06-schuil.pdfhttp://www.eecs.harvard.edu/~rad/ssr/papers/aaai06-schuil.pdfhttp://www.eecs.harvard.edu/~rad/ssr/papers/aaai06-schuil.pdfhttp://books.google.com/books?as_isbn=0471099880http://books.google.com/books?as_isbn=0471099880http://books.google.com/books?as_isbn=9780471099888http://books.google.com/books?as_isbn=0471571482http://books.google.com/books?as_isbn=0471571482http://books.google.com/books?as_isbn=9780471571483http://books.google.com/books?as_isbn=9780471571483http://books.google.com/books?as_isbn=3540541489http://books.google.com/books?as_isbn=3540541489http://books.google.com/books?as_isbn=9783540541486http://dx.doi.org/10.1007/BFb0029723http://dx.doi.org/10.1007/BFb0029723http://dx.doi.org/10.1007/BFb0029723http://ls11-www.informatik.uni-dortmund.de/PPSN/ppsn1/ppsn1.htmlhttp://ls11-www.informatik.uni-dortmund.de/PPSN/ppsn1/ppsn1.htmlhttp://books.google.com/books?as_isbn=3540208259http://books.google.com/books?as_isbn=3540208259http://citeseer.ist.psu.edu/634903.htmlhttp://books.google.com/books?as_isbn=0262691558http://books.google.com/books?as_isbn=0262691558http://www.aaai.org/Conferences/IAAI/iaai912.phphttp://www.aaai.org/Conferences/IAAI/iaai912.phphttp://books.google.com/books?as_isbn=0471547700http://www.rsc.org/Publishing/Journals/CC/article.asp?doi=b200436dhttp://www.rsc.org/Publishing/Journals/CC/article.asp?doi=b200436dhttp://-/?-http://-/?-http://-/?-http://-/?-http://books.google.com/books?as_isbn=0201361205http://books.google.com/books?as_isbn=0201361205http://books.google.com/books?as_isbn=0201361205http://-/?-http://-/?-http://-/?-http://-/?-http://www.rsc.org/Publishing/Journals/CC/article.asp?doi=b200436dhttp://www.rsc.org/Publishing/Journals/CC/article.asp?doi=b200436dhttp://books.google.com/books?as_isbn=0471547700http://www.aaai.org/Conferences/IAAI/iaai912.phphttp://www.aaai.org/Conferences/IAAI/iaai912.phphttp://books.google.com/books?as_isbn=0262691558http://citeseer.ist.psu.edu/634903.htmlhttp://books.google.com/books?as_isbn=3540208259http://ls11-www.informatik.uni-dortmund.de/PPSN/ppsn1/ppsn1.htmlhttp://ls11-www.informatik.uni-dortmund.de/PPSN/ppsn1/ppsn1.htmlhttp://dx.doi.org/10.1007/BFb0029723http://books.google.com/books?as_isbn=9783540541486http://books.google.com/books?as_isbn=3540541489http://books.google.com/books?as_isbn=9780471571483http://books.google.com/books?as_isbn=0471571482http://books.google.com/books?as_isbn=9780471099888http://books.google.com/books?as_isbn=0471099880http://www.eecs.harvard.edu/~rad/ssr/papers/aaai06-schuil.pdfhttp://www.eecs.harvard.edu/~rad/ssr/papers/aaai06-schuil.pdfhttp://-/?-http://www.springerlink.com/content/u68407l468r0x423/fulltext.pdfhttp://www.springerlink.com/content/u68407l468r0x423/fulltext.pdfhttp://citeseer.ist.psu.edu/schraudolph92dynamic.htmlhttp://citeseer.ist.psu.edu/schraudolph92dynamic.htmlhttp://dx.doi.org/10.1023/A:1022624728869


12/20

75 2 RE FE RE NC ES

[1851] Y. Ahmet Sekercioglu, Andreas Pitsilides, and Athanasios V. Vasilakos. Computa-tional intelligence in management of atm networks: a survey of current state of re-search. In ESIT99, European Symposium on Intelligent Techniques, June 34, 1999,Orthodox Academy of Crete, Chania-Crete, Greece. Online available at http://www.erudit.de/erudit/events/esit99/12525_P.pdfand http://www.cs.ucy.ac.cy/networksgroup/pubs/published/1999/CI-ATM-London99.pdf [accessed 2008-09-03].

[1852] Walter Selke, L.N. Shchur, and A.L. Talapov. Clusterflipping monte carlo algorithmand correlations in good random number generators. JETP Letters, 58(8):684686,1993.

[1853] Mrinal K. Sen and Paul L. Stoffa. Nonlinear one-dimensional seismic waveform in-version using simulated annealing. Geophysics, 56(10):16241638, October 1991.

[1854] Bernhard Sendhoff, Martin Kreutz, and Werner von Seelen. A condition for thegenotype-phenotype mapping: Causality. In Proceedings of the Seventh InternationalConference on Genetic Algorithms (ICGA97), pages 7380, 1997. In proceedings[98]. Online available at http://citeseer.ist.psu.edu/sendhoff97condition.html and http://arxiv.org/abs/adap-org/9711001 [accessed 2007-08-12].

[1855] Randall S. Sexton, Bahram Alidaee, Robert E. Dorsey, and John D. John-son. Global optimization for artificial neural networks: A tabu search applica-tion. European Journal of Operational Research, 106(23):570584, April 1998.doi:10.1016/S0377-2217(97)00292-0. Online available at http://dx.doi.org/10.1016/S0377-2217(97)00292-0 [accessed 2007-08-25].

[1856] Mark Shackleton, Rob Shipman, and Marc Ebner. An investigation of redundantgenotype-phenotype mappings and their role in evolutionary search. In Proceed-ings of the 2000 Congress on Evolutionary Computation CEC00, pages 493500,2000. In proceedings [1002]. Online available at http://citeseer.ist.psu.edu/409243.html and http://wwwi2.informatik.uni-wuerzburg.de/mitarbeiter/ebner/research/publications/uniWu/redundant.ps.gz [accessed 2007-07-29].

[1857] S. H. Shami, I. M. A. Kirkwood, and Mark C. Sinclair. Evolving simple fault-tolerant

routing rules using genetic programming. Electronics Letters, 33(17):14401441, Au-gust 14, 1997. ISSN: Print: 0013-5194, Online: 1350-911X. doi:10.1049/el:19970996.See also [1143].

[1858] Claude Elwood Shannon. A mathematical theory of communication. Bell Sys-tem Technical Journal, 27:379423/623656, July/October 1948. Online available athttp://plan9.bell-labs.com/cm/ms/what/shannonday/paper.html [accessed 2007-09-

15]. Also published in D. Slepian, editor, Key Papers in the Development of Informa-tion Theory, New York: IEEE Press, 1974; N. J. A. Sloane and A. D. Wyner, editors,Claude Elwood Shannon: Collected Papers, New York: IEEE Press, 1993; W. Weaverand Claude Elwood Shannon, The Mathematical Theory of Communication, Urbana,Illinois: University of Illinois Press, 1949, republished in paperback 1963.

[1859] Oliver John Sharpe. Towards a Rational Methodology for Using EvolutionarySearch Algorithms. PhD thesis, University of Sussex, January 2000. Online avail-

able at http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.1667[accessed 2008-08-10].

[1860] Nicholas Peter Sharples. Evolutionary approaches to adaptive protocol design. InDarren Pearce, editor, CSRP 512: The 12th White House Papers Graduate Researchin Cognitive and Computing Sciences at Sussex, Cognitive Science Research Papers,pages 6062. University of Sussex at Brighton, November 1999. Online available atftp://ftp.informatics.sussex.ac.uk/pub/reports/csrp/csrp512.ps.Z [accessed

2008-06-23].[1861] Nicholas Peter Sharples. Evolutionary Approaches to Adaptive Protocol Design. PhD

thesis, School of Cognitive & Computing Sciences of the University of Sussex, August2001. ASIN: B001ABO1DK.
http://www.erudit.de/erudit/events/esit99/12525_P.pdfhttp://www.erudit.de/erudit/events/esit99/12525_P.pdfhttp://www.cs.ucy.ac.cy/networksgroup/pubs/published/1999/CI-ATM-London99.pdfhttp://www.cs.ucy.ac.cy/networksgroup/pubs/published/1999/CI-ATM-London99.pdfhttp://-/?-http://citeseer.ist.psu.edu/sendhoff97condition.htmlhttp://citeseer.ist.psu.edu/sendhoff97condition.htmlhttp://arxiv.org/abs/adap-org/9711001http://dx.doi.org/10.1016/S0377-2217(97)00292-0http://dx.doi.org/10.1016/S0377-2217(97)00292-0http://dx.doi.org/10.1016/S0377-2217(97)00292-0http://dx.doi.org/10.1016/S0377-2217(97)00292-0http://-/?-http://citeseer.ist.psu.edu/409243.htmlhttp://citeseer.ist.psu.edu/409243.htmlhttp://wwwi2.informatik.uni-wuerzburg.de/mitarbeiter/ebner/research/publications/uniWu/redundant.ps.gzhttp://wwwi2.informatik.uni-wuerzburg.de/mitarbeiter/ebner/research/publications/uniWu/redundant.ps.gzhttp://dx.doi.org/10.1049/el:19970996http://dx.doi.org/10.1049/el:19970996http://dx.doi.org/10.1049/el:19970996http://-/?-http://plan9.bell-labs.com/cm/ms/what/shannonday/paper.htmlhttp://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.1667ftp://ftp.informatics.sussex.ac.uk/pub/reports/csrp/csrp512.ps.Zhttp://amazon.com/gp/product/B001ABO1DKhttp://amazon.com/gp/product/B001ABO1DKhttp://amazon.com/gp/product/B001ABO1DKftp://ftp.informatics.sussex.ac.uk/pub/reports/csrp/csrp512.ps.Zhttp://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.1667http://plan9.bell-labs.com/cm/ms/what/shannonday/paper.htmlhttp://-/?-http://dx.doi.org/10.1049/el:19970996http://wwwi2.informatik.uni-wuerzburg.de/mitarbeiter/ebner/research/publications/uniWu/redundant.ps.gzhttp://wwwi2.informatik.uni-wuerzburg.de/mitarbeiter/ebner/research/publications/uniWu/redundant.ps.gzhttp://citeseer.ist.psu.edu/409243.htmlhttp://citeseer.ist.psu.edu/409243.htmlhttp://-/?-http://dx.doi.org/10.1016/S0377-2217(97)00292-0http://dx.doi.org/10.1016/S0377-2217(97)00292-0http://dx.doi.org/10.1016/S0377-2217(97)00292-0http://arxiv.org/abs/adap-org/9711001http://citeseer.ist.psu.edu/sendhoff97condition.htmlhttp://citeseer.ist.psu.edu/sendhoff97condition.htmlhttp://-/?-http://www.cs.ucy.ac.cy/networksgroup/pubs/published/1999/CI-ATM-London99.pdfhttp://www.cs.ucy.ac.cy/networksgroup/pubs/published/1999/CI-ATM-London99.pdfhttp://www.erudit.de/erudit/events/esit99/12525_P.pdfhttp://www.erudit.de/erudit/events/esit99/12525_P.pdf


13/20

RE FERE NC ES 7 53

[1862] Nicholas Peter Sharples and Ian Wakeman. Protocol construction using genetic searchtechniques. In Real-World Applications of Evolutionary Computing, EvoWorkshops2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoROB, and EvoFlight, pages7395, 2000. doi:10.1007/3-540-45561-2 23. In proceedings [320].

[1863] J. Shekel. Test functions for multimodal search techniques. In Pro-ceedings of the Fifth Annual Princeton Conference on Information Scienceand Systems, pages 354359. Princeton University Press, 1971, Princeton,NJ, USA. See also http://en.wikipedia.org/wiki/Shekel_function [accessed2007-11-06] and http://www-optima.amp.i.kyoto-u.ac.jp/member/student/hedar/Hedar_files/TestGO_files/Page2354.htm [accessed 2007-11-06].

[1864] Qi Shen, Jian-Hui Jiang, Chen-Xu Jiao, Shuang-Yan Huan, Guo li Shen, , and Ru-Qin Yu. Optimized partition of minimum spanning tree for piecewise modeling byparticle swarm algorithm. qsar studies of antagonism of angiotensin ii antagonists.Journal of Chemical Information and Modeling / J. Chem. Inf. Comput. Sci., 44(6):20272031, November 2004. doi:10.1021/ci034292+ S0095-2338(03)04292-6. Onlineavailable at http://dx.doi.org/10.1021/ci034292+ [accessed 2007-08-21].

[1865] Proceedings of the Third Joint Conference on Information Science (JCIS 1997), Sec-tion: The First International Workshop on Frontiers in Evolutionary Algorithms(FEA 1998), March 15, 1997, Sheraton Imperial Hotel & Convention Center, Re-search Triangle Park, North Carolina, USA. Workshop held in conjunction withThird Joint Conference on Information Sciences.

[1866] David J. Sheskin. Handbook of Parametric and Nonparametric Statistical Proce-dures. Chapman & Hall/CRC, 2nd edition, February 24, 2000. ISBN: 1-5848-8133-X,978-1-58488-133-9, 1-5848-8440-1, 978-1-58488-440-8, 978-1-58488-814-7. Partly on-line available at http://books.google.com/books?id=bmwhcJqq01cC [accessed 2008-08-07] (3rd ed).

[1867] Yuhui Shi and Marco Dorigo, editors. Proceedings of the 2007 IEEE Swarm In-telligence Symposium. SIS07, IEEE International Symposia on Swarm Intelligence,

April 15, 2007, Hilton Hawaiian Village Beach Resort & Spa, Hawaii, USA. Insti-tute of Electrical & Electronics Enginee (IEEE). http://www.computelligence.org/sis/2007/ [accessed 2007-08-26].

[1868] Jung Eun Shim and Won Suk Lee. A landmark extraction method for protein 2degel images based on multi-dimensional clustering. Artificial Intelligence in Medicine,35(1-2):157170, 2005. Online available at http://linkinghub.elsevier.com/retrieve/pii/S093336570500076X and http://dx.doi.org/10.1016/j.artmed.2005.07.002 [accessed 2007-08-11].

[1869] Masaya Shinkai, Hernan Aguirre, and Kiyoshi Tanaka. Mutation strategy im-proves gas performance on epistatic problems. In Proceedings of the 2002Congress on Evolutionary Computation, CEC02, volume 1, pages 968973, 2002.doi:10.1109/CEC.2002.1007056. In proceedings [703].

[1870] Rob Shipman. Genetic redundancy: Desirable or problematic for evolutionary adap-

tation? In Proceedings of the 4th International Conference on Artificial Neural Netsand Genetic Algorithms, pages 111, 1999. In proceedings [576]. Online available athttp://citeseer.ist.psu.edu/shipman99genetic.html [accessed 2007-07-29].

[1871] Rob Shipman, Marc Shackleton, Marc Ebner, and R. Watson. Neutral search spacesfor artificial evolution: a lesson from life. In Mark Bedau, John S. McCaskill,Norman H. Packard, Steen Rasmussen, John McCaskill, and Norman Packard,editors, Artificial Life VII: Proceedings of the Seventh International Conferenceon Artificial Life, Bradford Books, Complex Adaptive Systems. The MIT Press,July 2000. ISBN: 0-2625-2290-X, 978-0-26252-290-8. Online available at http://citeseer.ist.psu.edu/shipman00neutral.htmland http://books.google.com/books?id=-xLGm7KFGy4C [accessed 2007-07-29].
http://dx.doi.org/10.1007/3-540-45561-2_23http://dx.doi.org/10.1007/3-540-45561-2_23http://-/?-http://en.wikipedia.org/wiki/Shekel_functionhttp://www-optima.amp.i.kyoto-u.ac.jp/member/student/hedar/Hedar_files/TestGO_files/Page2354.htmhttp://www-optima.amp.i.kyoto-u.ac.jp/member/student/hedar/Hedar_files/TestGO_files/Page2354.htmhttp://dx.doi.org/10.1021/ci034292+%20S0095-2338(03)04292-6http://dx.doi.org/10.1021/ci034292+%20S0095-2338(03)04292-6http://dx.doi.org/10.1021/ci034292+http://books.google.com/books?as_isbn=158488133Xhttp://books.google.com/books?as_isbn=158488133Xhttp://books.google.com/books?as_isbn=9781584881339http://books.google.com/books?as_isbn=1584884401http://books.google.com/books?as_isbn=9781584884408http://books.google.com/books?as_isbn=9781584884408http://books.google.com/books?as_isbn=9781584888147http://books.google.com/books?id=bmwhcJqq01cChttp://www.computelligence.org/sis/2007/http://www.computelligence.org/sis/2007/http://linkinghub.elsevier.com/retrieve/pii/S093336570500076Xhttp://linkinghub.elsevier.com/retrieve/pii/S093336570500076Xhttp://dx.doi.org/10.1016/j.artmed.2005.07.002http://dx.doi.org/10.1016/j.artmed.2005.07.002http://dx.doi.org/10.1109/CEC.2002.1007056http://dx.doi.org/10.1109/CEC.2002.1007056http://-/?-http://-/?-http://citeseer.ist.psu.edu/shipman99genetic.htmlhttp://books.google.com/books?as_isbn=026252290Xhttp://books.google.com/books?as_isbn=9780262522908http://citeseer.ist.psu.edu/shipman00neutral.htmlhttp://citeseer.ist.psu.edu/shipman00neutral.htmlhttp://books.google.com/books?id=-xLGm7KFGy4Chttp://books.google.com/books?id=-xLGm7KFGy4Chttp://books.google.com/books?id=-xLGm7KFGy4Chttp://books.google.com/books?id=-xLGm7KFGy4Chttp://citeseer.ist.psu.edu/shipman00neutral.htmlhttp://citeseer.ist.psu.edu/shipman00neutral.htmlhttp://books.google.com/books?as_isbn=9780262522908http://books.google.com/books?as_isbn=026252290Xhttp://citeseer.ist.psu.edu/shipman99genetic.htmlhttp://-/?-http://-/?-http://dx.doi.org/10.1109/CEC.2002.1007056http://dx.doi.org/10.1016/j.artmed.2005.07.002http://dx.doi.org/10.1016/j.artmed.2005.07.002http://linkinghub.elsevier.com/retrieve/pii/S093336570500076Xhttp://linkinghub.elsevier.com/retrieve/pii/S093336570500076Xhttp://www.computelligence.org/sis/2007/http://www.computelligence.org/sis/2007/http://books.google.com/books?id=bmwhcJqq01cChttp://books.google.com/books?as_isbn=9781584888147http://books.google.com/books?as_isbn=9781584884408http://books.google.com/books?as_isbn=1584884401http://books.google.com/books?as_isbn=9781584881339http://books.google.com/books?as_isbn=158488133Xhttp://dx.doi.org/10.1021/ci034292+http://dx.doi.org/10.1021/ci034292+%20S0095-2338(03)04292-6http://www-optima.amp.i.kyoto-u.ac.jp/member/student/hedar/Hedar_files/TestGO_files/Page2354.htmhttp://www-optima.amp.i.kyoto-u.ac.jp/member/student/hedar/Hedar_files/TestGO_files/Page2354.htmhttp://en.wikipedia.org/wiki/Shekel_functionhttp://-/?-http://dx.doi.org/10.1007/3-540-45561-2_23


14/20

75 4 RE FE RE NC ES

[1872] Rob Shipman, Mark Shackleton, and I. Harvey. The use of neutral genotype-phenotype mappings for improved evolutionary search. BT Technology Journal, 18(4):103111, 2000. Online available at http://citeseer.ist.psu.edu/shipman00use.html [accessed 2007-07-29].

[1873] Rajeev Shorey, A. Ananda, Mun Choon Chan, and Wei Tsang Ooi. Mobile, Wireless,and Sensor Networks: Technology, Applications, and Future Directions. Wiley-IEEEPress, March 23, 2006. ISBN: 978-0-47171-816-1.

[1874] John N. Shutt. Recursive adaptable grammars. Masters thesis, Computer Sci-ence Department, Worcester Polytechnic Institute, Worcester Massachusetts, Au-gust 10, 1993. Approved by Roy S. Rubinstein and Robert E. Kinicki. Onlineavailable at http://libra.msra.cn/paperdetail.aspx?id=256609 and http://en.scientificcommons.org/234810 [accessed 2007-08-17].

[1875] Patrick Siarry and Zbigniew Michalewicz, editors. Advances in Metaheuristics forHard Optimization. Natural Computing Series. Springer-Verlag, LLC, New York,January 2008. ISBN: 978-3-54072-959-4. Partly online available at http://books.google.de/books?id=TkMR1b-VCR4C [accessed 2008-08-01]. Series editors: G. Rozenberg,

Thomas Back, Agoston E. Eiben, J.N. Kok, and H.P. Spaink.[1876] Wojciech Wladyslaw Siedlecki and Jack Sklansky. Constrained genetic optimization

via dynamic reward-penalty balancing and its use in pattern recognition. In Pro-ceedings of the third international conference on Genetic algorithms, pages 141150,1989. In proceedings [1820]. See also [1877].

[1877] Wojciech Wladyslaw Siedlecki and Jack Sklansky. Constrained genetic optimiza-tion via dynamic reward-penalty balancing and its use in pattern recognition. InC. H. Chen, L. F. Pau, and P. S. P. Wang, editors, Handbook of Pattern Recognitionand Computer Vision, chapter 1.3.3, pages 108124. World Scientific, 1993. ISBN:9-8102-2276-9, 978-9-81022-276-5. Partly online available at http://books.google.de/books?id=5J6J7PP0-ZMC [accessed 2008-11-15]. See also [1876].

[1878] Sidney Siegel and N. John Castellan Jr. Nonparametric Statistics for The Behavioral

Sciences. Humanities/Social Sciences/Languages. McGraw-Hill Book Company, NewYork, NY, USA, 1st: 1956, 2n

global+optimization+algorithms+theory+and+application part38

Documents