摘要
利用遗传算法对多目标问题进行优化时,得到的Pareto解在目标空间中为均匀分布,但有时希望能在目标空间的某个区域内产生比较稠密的Pareto解。针对这一问题,提出一种基于选择的多目标遗传算法,该算法在遗传操作过程中通过选择来引导寻优方向,最终得到满意的解。
The use of genetic algorithm to multi-objective optimization problems, whose solutions are uniformly distributed in the objective space. Sometimes the user only wants to get more solutions in the particular region of the objective space. A selectionbased multi-objective genetic algorithm was proposed to solve the problems. It directed optimization in the genetic operating based on the user＇s selection, and made the satisfactory solutions was found.
出处
《微型机与应用》
2010年第11期64-66,共3页
Microcomputer & Its Applications
基金
山西省高校科技开发项目(20091151)
运城学院2009年度院级基础研究项目(JC-2009017)
关键词
多目标优化
选择
遗传算法
权值法
multi-objective optimization
selection
genetic algorithm
weighted method
