On coevolutionary genetic algorithms

被引：16
|
作者：
L. Bull
机构：
[1] Intelligent Computer Systems Centre,
[2] Faculty of Computer Studies & Mathematics,undefined
[3] University of the West of England,undefined
[4] Bristol BS16 1QY,undefined
[5] UK E-mail: larry.bull@uwe.ac.uk,undefined
来源：
Soft Computing | 2001年 / 5卷 / 3期
关键词：
Keywords Interdependence; Multi-agent systems; Partnering; Selection;
D O I：
10.1007/s005000100082
中图分类号：
学科分类号：
摘要：
 The use of evolutionary computing techniques in coevolutionary/multi-agent systems is becoming increasingly popular. This paper presents simple models of the genetic algorithm in such systems, with the aim of examining the effects of different types of interdependence between individuals. Using the model it is shown that, for a fixed amount of interdependence between coevolving individuals, the existence of partner gene variance and the level at which fitness is applied can have significant effects, as does the evaluation partnering strategy used.
引用
收藏
页码：201 / 207
页数：6
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