Parallel evolutionary algorithms: Advances

被引:0
作者
Konfrst, Z [1 ]
机构
[1] CTU, FEE, Prague, Czech Republic
来源
SOFT COMPUTING WITH INDUSTRIAL APPLICATIONS, VOL 17 | 2004年 / 17卷
关键词
(parallel) nietaheuristics; evolutionary algorithms; genetic algorithms; computational intelligence; softcomputing;
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
This article gives a brief overview of theoretical and application-related advances and of future perspectives in parallel evolutionary algorithms, particularly parallel genetic algorithms. The developments presented may be classified into two periods - those prior and subsequent to the year 2001. The latter period is of greater interest and importance, including as it does recent work and providing indications on possible future trends, and is accordingly afforded more space. Since there appears to be no such overview of developments in parallel genetic algorithms pertaining to the period, we feel that the present investigation may be particularly useful.
引用
收藏
页码:429 / 434
页数:6
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