EVALUATION OF COMBINED PARETO MULTIOBJECTIVE DIFFERENTIAL EVOLUTION ON TUNEABLE PROBLEMS

被引：7
作者：
Adeyemo, J. A. [1 ]
Olofintoye, O. O. [1 ]
机构：
[1] Durban Univ Technol, Dept Civil Engn & Surveying, ZA-4000 Durban, South Africa
来源：
INTERNATIONAL JOURNAL OF SIMULATION MODELLING | 2014年 / 13卷 / 03期
关键词：
Multi-Objective Optimization; Constraints; Differential Evolution; Tuneable Test Beds; Evolutionary Algorithms; ALGORITHMS;
D O I：
10.2507/IJSIMM13(3)2.264
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Many optimization problems in engineering involve the satisfaction of multiple objectives within the limits of certain constraints. Methods of evolutionary multi-objective algorithms (EMOAs) have been proposed and applied to solve such problems. Recently, a combined Pareto multi-objective differential evolution (CPMDE) algorithm was proposed. The algorithm combines Pareto selection procedures for multi-objective differential evolution to implement a novel selection scheme. The ability of CPMDE in solving unconstrained, constrained and real optimization problems was demonstrated and competitive results obtained from the application of CPMDE suggest that it is a good alternative for solving multi-objective optimization problems. In this work, CPMDE is further tested using tuneable multi-objective test problems and applied to solve a real world engineering design problem. Results obtained herein further corroborate the efficacy of CPMDE in multi-objective optimization.
引用
收藏
页码：276 / 287
页数：12
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