Presentation 2008-06-02
Experimental Evaluation of Fitness Varieties in Parallel Genetic Algorithms based on Tree Topologies
Hayato MIYAGI, Morikazu NAKAMURA,
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Abstract(in English) This paper presents some results of experimental evaluation on the fitness varieties in parallel genetic algorithms based on tree topology migrations. The evaluation focuses on the relation between the solution quality and the fitness varieties. We perform the evaluation for the typical tree topologies; the star, line, and balanced binary tree with varying migration interval since the solution quality of the parallel genetic algorithm depends on the kind of the topology and migration interval. The results show that the line topology can keep the chromosome variety of the GA and obtain better quality of solutions since the topology has the longest distance between the root and the leaves.
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Keyword(in English) Parallel Genetic Algorithms / Genetic Algorithms / Tree Topology / Migration
Paper # CST2008-1
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Committee CST
Conference Date 2008/5/26(1days)
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Registration To Concurrent System Technology (CST)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Experimental Evaluation of Fitness Varieties in Parallel Genetic Algorithms based on Tree Topologies
Sub Title (in English)
Keyword(1) Parallel Genetic Algorithms
Keyword(2) Genetic Algorithms
Keyword(3) Tree Topology
Keyword(4) Migration
1st Author's Name Hayato MIYAGI
1st Author's Affiliation Dept of Information Eng., University of the Ryukyus()
2nd Author's Name Morikazu NAKAMURA
2nd Author's Affiliation Dept of Information Eng., University of the Ryukyus
Date 2008-06-02
Paper # CST2008-1
Volume (vol) vol.108
Number (no) 78
Page pp.pp.-
#Pages 6
Date of Issue