On the design adaptive control strategies for evolutionary algorithms

被引：0

作者：

Maturana, Jorge ^{[1
]}

Saubion, Frederic ^{[1
]}

机构：

[1] Univ Angers, LERIA, F-49045 Angers, France

来源：

ARTIFICIAL EVOLUTION | 2008年 / 4926卷

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper focuses on the design of control strategies for Evolutionary Alogrithms. We propose a method to encapsulate multiple parameters, reducing control to only one criterion. This method allows to define generic control strategies independently from both the algorithm's operators and the problem to be solved. Three strategies are proposed and compared on a classical optimization problem, considering their generality and performance.

引用

页码：303 / 315

页数：13

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