EditorialAdvanced Optimization Techniques and Their Applications inCivil Engineering

Tayfun Dede ,1 Moacir Kripka ,2 Vedat Togan,1 Victor Yepes ,3 and Ravipudi V. Rao4

1Department of Civil Engineering, Karadeniz Technical University, 61080 Trabzon, Turkey2Department of Civil Engineering, Universidade de Passo Fundo, 99001-970 Passo Fundo, RS, Brazil3ICITECH, Department of Construction Engineering, Universitat Politecnica de Valencia, Camino de Vera s/n,46022 Valencia, Spain4Department of Mechanical Engineering, Sardar Vallabhai National Institute of Technology, Gujarat 395007, India

Correspondence should be addressed to Tayfun Dede; tayfundede@gmail.com

Received 17 May 2018; Accepted 19 May 2018; Published 25 June 2018

Copyright © 2018 Tayfun Dede et al. %is is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Nowadays, a rapid growth of computer performance enablesand encourages new developments in civil engineering as wellas related areas. For instance, the construction industry in-vestigates new designs with minimum cost, minimum CO2emissions, or embodied energy, among other objectives. Ap-plications of optimization techniques are most exciting, chal-lenging, and of truly large scale when it comes to the problemsof civil engineering in terms of both quality and quantity. Inorder to overcome the difficulties, researchers are interested inadvanced optimization techniques.%e aim of this special issueis to collect the studies using optimization algorithms in civilengineering problems such as structural engineering, con-struction management, and environmental engineering.

During the call for submissions, many papers were re-ceived and some of them were later withdrawn or rejected.%e other 6 papers were accepted. %e details about thepublished papers are given below.

%e paper written by A. Saha, A. K. Saha, and S. Ghoshpresents an upper-bound solution for bearing capacity ofshallow strip footing considering composite failure mech-anisms by the pseudodynamic approach. In this study, theauthors used the hybrid symbiosis organisms search (HSOS)algorithm as an optimization technique and used the dy-namic modules of PLAXIS-8.6v for the validation of ana-lytical solution. %e results are compared with the availableliterature. At the end of the study, the authors concluded thatthe results obtained from analytical analysis are well justifiedwith the numerical solutions.

%e study “Optimum Design of Braced Steel SpaceFrames including Soil-Structure Interaction via Teaching-

Learning-Based Optimization and Harmony Search Algo-rithms” is presented by A. T. Daloglu,M. Artar, K. Ozgan, andA. I. Karakas. %e authors used MATLAB interacting withSAP2000-OAPI codes to carry out the analysis for the 10-storey braced steel space frame example. When the resultsobtained by using TLBO and HS are compared with eachother, the total weight of the structure can be obtained morelighter with the TLBO algorithm. But the authors stated thatthe TLBO algorithm requires longer time for the analysis.

Another study is presented by the authors A. Kangrang,H. Prasanchum, and R. Hormwichian. %eir study appliedthe conditional genetic algorithm (CGA) and the condi-tional tabu search algorithm (CTSA) technique to connectwith the reservoir simulation model in order to searchoptimal reservoir rule curves.%e results obtained from theirstudy show that the new obtained rule curves from CTSA aremore suitable for reservoir operating than the existing rulecurves, and it is an effective method for application to findoptimal reservoir rule curves.

An experimental study by taking into account the op-timization of calcareous fly ash-added cement containinggrinding aids and strength-improving additives is made byG. Kaplan, S. A. Yildizel, S. Memis, and A. U. Ozturk.Optimization process included only the cement with fly ashand chemical additive. %e main purposes of this study arethe maximum level of 2-day and 28-day compressivestrengths and the minimal cost parameter for the cementsproduced.

%e study “Optimal cement mixtures containing mineraladmixtures under multiple and conflicting criteria” is

HindawiAdvances in Civil EngineeringVolume 2018, Article ID 5913083, 2 pageshttps://doi.org/10.1155/2018/5913083

proposed byN.M. Garcıa, H. L. Soto-Toro,M. Cabrera-Rıos,and O. M. Suarez. For this multiobjective optimizationproblem, proper concrete bulk density, percentage of voids,and compressive strength normally are the different ob-jective functions. Consequently, in the decision-makingprocess, they obtained Pareto-optimal results instead ofindividual solution for the all objective function. %eyconcluded that the decision makers know the best trade-offmixtures for an individual application with the help of thisstudy.

%e last study is presented by Z. Lyu, Q. Lu, Y. Song,Q. Xiang, and G. Yang.%ey made a case study on the designoptimization of thin-walled steel-perforated sections byusing artificial neural network (ANN). %e main contri-bution of this study is to present an alternative data-drivenmodel using ANNs to overcome some inherent difficultiesassociated with the design load of perforated steel membersfor the constructional steel field.

Acknowledgments

We thank all volunteer reviewers in the review process forthis special issue. We hope that the accepted papers forspecial issue will lead to future works related to advancedoptimization techniques.

Tayfun DedeMoacir KripkaVedat ToganVictor Yepes

Ravipudi V. Rao

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