Evaluating differential evolution with penalty function to solve constrained engineering problems

被引：24
作者：
de Melo, Vinicius Veloso [1 ]
Costa Carosio, Grazieli Luiza [2 ]
机构：
[1] Univ Fed Sao Paulo, Inst Sci & Technol, Sao Jose Dos Campos, SP, Brazil
[2] Univ Ribeirao Preto, Ribeirao Preto, SP, Brazil
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 09期
关键词：
Optimization; Engineering design; Metaheuristics; Differential evolution; PARTICLE SWARM OPTIMIZATION;
D O I：
10.1016/j.eswa.2012.01.123
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Over the the years, several metaheuristics have been developed to solve hard constrained and unconstrained optimization problems. In general, a metaheuristic is proposed and following researches are made to improve the original algorithm. In this paper, we evaluate a not so new metaheuristic called differential evolution (DE) to solve constrained engineering design problems and compare the results with some recent metaheuristics. Results show that the classical DE with a very simple penalty function to handle constraints is still very competitive in the tested problems. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：7860 / 7863
页数：4
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