Evolutionary computation techniques and their applications

被引:0
|
作者
Michalewicz, Z [1 ]
Michalewicz, M
机构
[1] Univ N Carolina, Dept Comp Sci, Charlotte, NC 28223 USA
[2] Polish Acad Sci, Inst Comp Sci, PL-01237 Warsaw, Poland
来源
1997 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT PROCESSING SYSTEMS, VOLS 1 & 2 | 1997年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Evolutionary computation techniques, which are based on a powerful principle of evolution: survival of the fittest, constitute an interesting category of heuristic search. Evolutionary computation techniques are stochastic algorithms whose search methods model some natural phenomena: genetic inheritance and Darwinian strife for survival. This paper discusses the main paradigms of evolutionary computation techniques (genetic algorithms, evolution strategies, evolutionary programming, genetic programming) as well as other methods, which are hard to classify. Also, we address an important question "why evolutionary computation ?" and discuss some applications of these techniques.
引用
收藏
页码:14 / 25
页数:12
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