Presentation 2007-07-25
A Network Property of Genetic Algorithms
Hiroyuki FUNAYA, Kazushi IKEDA,
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Abstract(in English) These recent years, network analysis has revealed that some real networks have the properties of small-world and/or scale-free networks. In this work, we study the Characteristics Path Length (CPL), which is a measure of efficiency of networks, for a simple model of Genetic Algorithms (GAs), assumed as a network where each node and each edge represent a population and the possibility of the transition between two nodes, respectively. We derive CPLs over different settings of the link weight and transition rules of populations, and make a comparison on how mutations and crossovers affect the CPL on the following four cases: 1) unit weighted links, with only mutations, 2) unit weighted links, with both mutations and crossovers and 3) probability weighted links, with only mutations 4) probability weighted links, with both mutations and crossovers.
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Keyword(in English) Genetic Algorithms / Small World / Characteristic Path Length
Paper # NC2007-30
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Committee NC
Conference Date 2007/7/17(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Network Property of Genetic Algorithms
Sub Title (in English)
Keyword(1) Genetic Algorithms
Keyword(2) Small World
Keyword(3) Characteristic Path Length
1st Author's Name Hiroyuki FUNAYA
1st Author's Affiliation Department of Systems Science, Graduate School of Informatics, Kyoto University()
2nd Author's Name Kazushi IKEDA
2nd Author's Affiliation Department of Systems Science, Graduate School of Informatics, Kyoto University
Date 2007-07-25
Paper # NC2007-30
Volume (vol) vol.107
Number (no) 157
Page pp.pp.-
#Pages 6
Date of Issue