P.K. Chawdhry, R. Roy and R.K. Pant (Eds)

Soft Computing in Engineering Design and Manufacturing

Springer

Table of Contents

Introduction xi

Part 1: Evoluttonary Computing 1

Artificial Neural Networks Optimization by means of Evolutionary Algorithms /. De Falco. A. Della Cioppa, P. Natale and E. Tarantino 3

Fitness Causes Bloat W. B. Langdon andR. Poli 13

Triune Brain Inspired Unifying View of Intelligent Computation RSBapi 23

An Overview of Evolutionaiy Computing for Multimodal Function Optimisation R. Roy and I.C. Parmee 30

Evolution of Cellular-automaton-based Associative Memories Marcin Chady andRiccardo Poli 40

Simple Implementation of Genetic Programming by Column Tables V Kvasnicka and Jiri Pospichal 48

Part 2: Neural Networks 57

XCS Classifier System Reliably Evolves Accurate, Complete and Minimal Representations for Boolean Functions TimKovacs 59

Designing Neural Networks using a Genetic Rule-based System Kwok Ching Tsui and Mark Plumbley 69

A Neural Network for Real-World Postal Address Recognition M. Blumenstein and B. Verrna) 79

Neural Processing in Semi-Rigid Connections of Steel Structures G.E.Stravroulakis, A.V.Avdelas, P.D.Panagiotopoulos and K.MAbdalla 84

Evolutionary Design of Neural trees for Heart Rate Prediction BTZhangandJGJoung 93

Part 3: Fuzzy Logic 103

Hypertrapezoidal Fuzzy Membership Functions for Decision Aiding W.E.KelleyandJ.H.Painter 105

An Iterative Two-phase Approach to Fuzzy System Design F. Abbattista, G. Castellano andA.M. Fanelli 114

A fuzzy control course on Internet Jan Jantzen and Mariagrazia Dotoli 122

FUZOS - Fuzzy Operating System Support for Information Technology A.B. Patki, G.V. Raghunathan andAzarKhurshid 131

Industrial Application of Chaos Engineering Tadashi lokibe 141

Part 4: Genetic Algorithms 151

A Genetic Method for Evolutionary Agents in a Competitive Environment K Moriwaki. Nobuhiro Inuzuka, Masashi Yamada, Hirohisa Seki and Hidenori Höh 153

VIII

EmpiricaJly-Derived Population Size and Mutation Rate Guidelines for a Genetic Algorithm with Uniform Crossover Edwin A Williams and William A Crossley 163

Analysis of various evolutionary algorithms and die classical dumped least Squares in the optimization of the doublet Darko Vasiljevic and Janez Golobic 173

Genetic Programming with One-Point Crossover Riccardo Poli and W.B. Langdon 180

Evolutionary Tabu Searcb for Geometrie Primitive Extraction /. Chai, T. Jing and SongDe MA 190

Parallel Genetic Algorithms in the Optimization of Composite Structures KD. Goodman, R.C. Averill, W.F. Punch IIIand DJ. Eby 199

Part 5: Decision Support, Constraints and Optimisation 209

Mijn Mutation Operator for Aerofoil Design Optimisation /. De Falco, A. Della Cioppa, A. Iazzetta and E. Tarantino 211

Design Problems with Soft Linear Constraints MarianMach 221

Finding Acceptable Solutions in the Pareto-Optimal Range using Multiobjective Genetic Algorithms P.J. Bentley and J.P. Wakefield 231

Handling Probabilistic Uncertainty in Constraint Logic Programming W.B. Valkovsky. K.O. Sawin andM.B. Gerasimov 241

A Voxel-based Representation for Evolutionary Shape Optimisation: A case-study of a problem-centred approach to Operator design P.J.Baron, R.B.Fisher, F.Mill, A.Sherlock andA.L Tuson 251

A comparison of crossover for rural postman problem with time Windows MJ Kang and CG Han 259

On Generating Optimum Configurations of Commuter Aircraft using Stochastic Optimisation Methods RKPant and C.M.Kalker-kalkman 268

Part 6: Engineering Design 277

Application of Genetic Algorithms to Packing Problems - A Review E. Hopper and B. Turton 279

Generic Evolutionary Design P.J. Bentley and J.P. Wakefield 289

Evolving Digital Logic Circuits on Xilinx 6000 Family FPGAs T.C. Fogarty, J.F. MillerandP. Thomson 299

A Dialogue Module at the Conceptual Product Design Stage through Genetic Algorithm H.J. Wu, LC. Shih and CK Ding 306

Hard v. soft Computing issues in configuration design SE Potter, PK Chawdhry and SJ Culley 310

Airframe optimisation based on structural evolution Simulation by means of the GA and sequence of numerical modeis V.A. Zarubin, A.W. Chernov, E.F. FilatovandA.V. Teplykh 320

Simulated Evolution and Adaptive Search in Engineering Design - Experiences at die University of Cape Town JohnGreene 330

IX

Part 7: Scbeduling, Manufacturing and Roboücs 341

A Genetic Algoritbm Based Hybrid Channel Allocation Scheme B.Visweswaran and D.K.Anvekar 343

Solving Scbeduling Problems viaEvolutionary Methods for Rule Sequence Optimization IgorP. Norenkov and Erik D. Goodman 350

Estimation of Geometrical Parameters of Drill Point by Combining Genetic Algorithm and Gradient Method Lakshman Hazra, Hideo Kalo andTakaharu Kuroda 356

Adaptability by Behaviour Selection and Observation for Mobile Robots Francois Michaud 363

Application-Based Time Tabling by Genetic Algorithm M. Tanaka, M. Yamada, and O. Matsuo 371

A novel self-organising neural network for control Chart pattem recognition DJ. Pham, and A.B. Chan 381

Part 8: Dynamic Systems, Identification and Control 391

Neuro-Fuzzy Control Based on the NEFCON-Model under MATLAB/SIMULINK Andreas Nuemberger. Detlef Nauck and Rudolf Kruse 393

An Optimal COG Defuzzification Method for a Fuzzy Logic Controller Daijin Kim and In Hyun Cho 401

Automatic Structuring of Unknown Dynamic Systems Heikki Hyotyniemi 410

Takagi-Sugeno Fuzzy Control of Baten Polymerization Reactors J. Abonyi, L NagyandF. Szeifert 420

Genetic Algorithms and Evolution Strategies Applied in Identification and Control: Case Study L.S. Coelho andAA.R. Coelho 430

Part 9: Summary of Discussions 441

Key word Index 453

List of Reviewers 455