Linkage identification based on epistasis measures to realize efficient genetic algorithms

被引：0
|
作者：
Munetomo, M [1 ]
机构：
[1] Hokkaido Univ, Ctr Informat & Multimedia Studies, Sapporo, Hokkaido 060811, Japan
来源：
CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2002年
关键词：
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：
Genetic algorithms (GAs) process building blocks (BBs) mixed and tested through genetic recombination operators. To realize effective BB processing, linkage identification is essential which detects a set of loci tightly linked. This paper proposes a linkage identification with epistasis measures (LIEM) that detects linkage groups based on a pair-wise epistasis measure.
引用
收藏
页码：1332 / 1337
页数：6
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