摘要
多目标优化问题通常难以处理,在20世纪80年代中期人工智能的进化算法开始应用于该领域。近10年来涌现了很多种多目标进化算法,一些已成功应用到工程实践中,从而形成了最近的一个热门研究领域。本文阐述了多目标进化算法研究的有关工作进展,并提出今后需要研究的问题,旨在引起大家对此新兴研究领域的关注与兴趣,从而推动与此相关问题的研究。
Generally solving optimization problems with multiple objectives is a very difficult goal. Evolutionary algorithms of Artificial Intelligence were initially applied to this field from 1980's. During the past decade, a variety of multi-objective evolutionary algorithm techniques have been come forth and some put into engineering practice successfully. Thus a popular area of research has formed recently. We introduced a review of some related research works on multi-objective evolutionary algorithms, and put forward the questions that need to be studied in future. We aim to arouse people' attention and interests into the new field, and to achieve more success correlated to this problem.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2003年第3期306-314,共9页
Pattern Recognition and Artificial Intelligence
基金
国家973项目(No.G1999032707)
国家863课题(No.2001AA112080)
国家自然科学基金(No.90104002
No.60173012)
关键词
人工智能
多目标进化算法
进化算法
遗传算法
PARETO最优解
Evolutionary Algorithm, Multi-Objective Optimization, Multi-Objective Evolutionary Algorithm, Genetic Algorithm, Pareto Optimality