Cross breeding in genetic optimisation and its application to fuzzy logic controller design

被引：3
|
作者：
Pham, DT [1 ]
Karaboga, D [1 ]
机构：
[1] Univ Wales Coll Cardiff, Intelligent Syst Res Lab, Cardiff CF2 1XH, S Glam, Wales
来源：
ARTIFICIAL INTELLIGENCE IN ENGINEERING | 1998年 / 12卷 / 1-2期
关键词：
genetic algorithms; parallel genetic algorithms; fuzzy logic controller design;
D O I：
10.1016/S0954-1810(96)00034-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a simple genetic algorithm (GA) based on the idea of cross breeding 'chromosomes' from different solution populations. The proposed genetic algorithm has been tested against a standard GA on the problem of designing fuzzy logic controllers. The paper presents the simulation results obtained for the control of a second-order time-delayed plant. These demonstrate the effectiveness of the proposed algorithm. (C) 1997 Elsevier Science Limited.
引用
收藏
页码：15 / 20
页数：6
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