摘要
简要介绍了多目标进化算法的研究历史分类及主要方法,并提出了今后需要研究的问题。
Generally solving optimization problems with multiple objectives is a very difficult. Evolutionary algorithms of artificial intelligence were initially applied to this field from the mid-eighties. During (he past decade, a variety of multi-objective evolutionary algorithm techniques have been come forth and some of them have been applied to engineering practice successfully. Thus a popular area of research has formed recently. This paper discusse some related researches and put forward some problem that need to be studied in future.
出处
《中国科学基金》
CSCD
北大核心
2002年第1期17-19,共3页
Bulletin of National Natural Science Foundation of China
关键词
人工智能
多目标优化
多目标进化算法
遗传算法
MOEA
artificial intelligence, multiobjective optimization, multiobjective evolutionary algorithm, genetic algorithm
