Interactive genetic algorithms with selecting individuals using elite set

被引：0
|
作者：
Gong, Dun-Wei [1 ]
Chen, Jian [1 ]
机构：
[1] School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou,Jiangsu,221116, China
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2014年 / 42卷 / 08期
关键词：
Artificial intelligence;
D O I：
10.3969/j.issn.0372-2112.2014.08.012
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In interactive genetic algorithms with a large population, the increase of evaluated individual aggravates user fatigue, which restricts the applications of these algorithms. In this study, a method of selecting individuals using the elite set was presented. The elite set is first formed based on individuals with high user's evaluations; and then, individual categories similar with the elite set are selected to perform genetic operations with neither user's evaluations nor fitness estimations; finally, the elite set is updated according to evolutionary stages and individuals' contributions to the elite set. The proposed algorithm was applied to a curtain evolutionary design system, and compared with existing typical ones. The experimental results confirmed that the proposed algorithm has advantages in alleviating user fatigue while improving its efficiency in exploration.
引用
收藏
页码：1538 / 1544
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