Optimal number of evolution strategies mutation step sizes in dynamic environments

被引：0
|
作者：
Schoenemann, Lutz [1 ]
机构：
[1] Univ Dortmund, Dept Comp Sci, Syst Anal Grp, D-44221 Dortmund, Germany
来源：
GECCO 2005: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOLS 1 AND 2 | 2005年
关键词：
algorithms; evolution strategies; number mutation step sizes; dynamic environments;
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：
引用
收藏
页码：923 / 924
页数：2
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