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  1. 論文誌(トランザクション)
  2. 数理モデル化と応用(TOM)
  3. Vol.45
  4. No.SIG2(TOM10)

A Study on Parallel Varying Mutation in Deterministic and Self - Adaptive GAs with 0/1 Multiple Knapsack Problems

https://ipsj.ixsq.nii.ac.jp/records/17233
https://ipsj.ixsq.nii.ac.jp/records/17233
f07f4ecb-c5c2-4b45-b0b4-89ae1cb41d78
名前 / ファイル ライセンス アクション
IPSJ-TOM4502010.pdf IPSJ-TOM4502010.pdf (652.4 kB)
Copyright (c) 2004 by the Information Processing Society of Japan
オープンアクセス
Item type Trans(1)
公開日 2004-02-15
タイトル
タイトル A Study on Parallel Varying Mutation in Deterministic and Self - Adaptive GAs with 0/1 Multiple Knapsack Problems
タイトル
言語 en
タイトル A Study on Parallel Varying Mutation in Deterministic and Self - Adaptive GAs with 0/1 Multiple Knapsack Problems
言語
言語 eng
キーワード
主題Scheme Other
主題 新しいGA,GAの改良
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者所属
Faculty of Engineering Shinshu University
著者所属
Faculty of Engineering Shinshu University
著者所属(英)
en
Faculty of Engineering, Shinshu University
著者所属(英)
en
Faculty of Engineering, Shinshu University
著者名 Hern-anE.Aguirre Kiyoshi, Tanaka

× Hern-anE.Aguirre Kiyoshi, Tanaka

Hern-anE.Aguirre
Kiyoshi, Tanaka

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著者名(英) Hern, Aacute;NE.Aguirre Kiyoshi, Tanaka

× Hern, Aacute;NE.Aguirre Kiyoshi, Tanaka

en Hern, Aacute;NE.Aguirre
Kiyoshi, Tanaka

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論文抄録
内容記述タイプ Other
内容記述 In this work we study varying mutations applied parallel to crossover in generational deterministic and self-adaptive varying mutation GAs and compare them with the conventional generational model of varying mutations that apply mutation mostly serial to crossover. Experiments are conducted with several subclasses of 0/1 multiple knapsack problems. We found that varying mutation parallel to crossover can be a more effective and efficient framework than the conventional model of varying mutations in both deterministic and self-adaptive GAs to achieve faster convergence velocity and higher convergence reliability. We also found that the conventional model of varying mutations affects negatively the self-adaptive mutation rate control. This strongly suggests that the conventional model of varying mutation GAs may not be appropriate for combining forms of control. Also we compare deterministic adaptive and self-adaptive mutation schedules within the parallel varying mutation model. Best overall performance was achieved by a parallel varying mutation self-adaptive GA.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA11464803
書誌情報 情報処理学会論文誌数理モデル化と応用(TOM)

巻 45, 号 SIG02(TOM10), p. 77-90, 発行日 2004-02-15
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7780
出版者
言語 ja
出版者 情報処理学会
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