返回
Evaluating differential evolution with penalty function to solve constrained engineering problems
DOI:10.1016/j.eswa.2012.01.123.png)
摘要
En 中文
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.
Keyword:
Optimization
Engineering design
Metaheuristics
Differential evolution
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.5
论文数:
3.0W
被引数:
10.2W
机构
引用论文
Society and civilization: An optimization algorithm based on the simulation of social behavior社会与文明: 一种基于社会行为模拟的优化算法
没有更多内容

