Differential evolution algorithm with adaptive control parameters

被引：0
|
作者：
Liu, JH [1 ]
Lampinen, J [1 ]
机构：
[1] Lappeenranta Univ Technol, Lab Informat Proc, FIN-53851 Lappeenranta, Finland
来源：
ADVANCES IN SOFT COMPUTING: ENGINEERING DESIGN AND MANUFACTURING | 2003年
关键词：
differential evolution; evolutionary algorithms; fuzzy logic; adaptation;
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：
The Differential Evolution Algorithm is a floating-point encoded evolutionary algorithm for global optimization over continuous spaces. This algorithm so far uses empirically chosen fixed search parameters. This study is to introduce dynamic parameter control using fuzzy logic controllers whose inputs incorporate the relative function values and individuals of the successive generations to adapt the search parameters for the mutation operation and the crossover operation. Standard test functions are used to demonstrate. Based on experimental results, the Fuzzy Adaptive Differential Evolution Algorithm results in a faster convergence.
引用
收藏
页码：277 / 286
页数：10
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