Knowledge-based self-adaptation in evolutionary programming using cultural algorithms

被引：35
|
作者：
Reynolds, RG
Chung, CJ
机构：
来源：
PROCEEDINGS OF 1997 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (ICEC '97) | 1997年
关键词：
D O I：
10.1109/ICEC.1997.592271
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We investigate knowledge-based self-adaptation in evolutionary programming (EP) using cultural algorithms for 22 function optimization problems. The results suggest that the use of a cultural framework for self-adaptation in EP can produce substantial performance improvements as expressed in terms of CPU time, The nature of these improvements and the type of knowledge that is most effective in producing them will depend on the structure of the problem.
引用
收藏
页码：71 / 76
页数：6
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