DocumentCode :
1634923
Title :
Linkage identification based on epistasis measures to realize efficient genetic algorithms
Author :
Munetomo, Masaharu
Author_Institution :
Center for Inf. & Multimedia Studies, Hokkaido Univ., Sapporo, Japan
Volume :
2
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
1332
Lastpage :
1337
Abstract :
Genetic algorithms (GAs) process building blocks (BBs) mixed and tested through genetic recombination operators. To realize effective BB processing, linkage identification, which detects a set of tightly linked loci, is essential. This paper proposes linkage identification with epistasis measures (LIEM), which detects linkage groups based on a pair-wise epistasis measure
Keywords :
genetic algorithms; identification; mathematical operators; LIEM; building blocks; genetic algorithms; genetic recombination operators; linkage group detection; linkage identification; pairwise epistasis measure; tightly linked loci; Couplings; Design optimization; Encoding; Gene expression; Genetic algorithms; Genetic mutations; History; Integrated circuit testing; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
Type :
conf
DOI :
10.1109/CEC.2002.1004436
Filename :
1004436
Link To Document :
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