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確率的スキーマ貪欲法の検討と拡張,性能比較について
http://hdl.handle.net/2237/10304
http://hdl.handle.net/2237/103048b613d49-8c11-4e09-9cf5-cdf36780a0ec
名前 / ファイル | ライセンス | アクション |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2008-08-01 | |||||
タイトル | ||||||
タイトル | 確率的スキーマ貪欲法の検討と拡張,性能比較について | |||||
言語 | ja | |||||
その他のタイトル | ||||||
その他のタイトル | Investigation and Extension of Stochastic Schemata Exploiter | |||||
言語 | en | |||||
著者 |
丸山, 崇
× 丸山, 崇× MARUYAMA, Takashi× 北, 栄輔× KITA, Eisuke |
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アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
権利 | ||||||
言語 | ja | |||||
権利情報 | ここに掲載した著作物の利用に関する注意 本著作物の著作権は(社)情報処理学会に帰属します。本著作物は著作権者である情報処理学会の許可のもとに掲載するものです。ご利用に当たっては「著作権法」ならびに「情報処理学会倫理綱領」に従うことをお願いいたします。 | |||||
権利 | ||||||
言語 | en | |||||
権利情報 | Notice for the use of this material The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). This material is published on this web site with the agreement of the author (s) and the IPSJ. Please be complied with Copyright Law of Japan and the Code of Ethics of the IPSJ if any users wish to reproduce, make derivative work, distribute or make available to the public any part or whole thereof. All Rights Reserved, Copyright (C) Information Processing Society of Japan. Comments are welcome. Mail to address: editj<at>ipsj.or.jp, please. | |||||
抄録 | ||||||
内容記述 | 組合せ最適化問題に対する進化的計算手法の1つに確率的スキーマ貪欲法(Stochastic Schemata Exploiter: SSE)がある.本論文では,スキーマの関係に着目してSSEを改良した拡張型確率的スキーマ貪欲法(Extended Stochastic Schemata Exploiter: ESSE)を提案する.また,0/1組合せ最適化問題において,SSEとESSEをMinimal Generation Gap (MGG)やBayesian Optimization Algorithm (BOA)と性能比較を行い,それらの探索性能を検討する. | |||||
言語 | ja | |||||
内容記述タイプ | Abstract | |||||
抄録 | ||||||
内容記述 | Stochastic Schemata Exploiter (SSE) is one of the evolutionary optimization algorithms for solving the combinatorial optimization problems. Next, we present the Extended SSE (ESSE) algorithms which are composed of the original SSE and new ESSE operations. The SSE and the ESSE are compared with the Minimal Generation Gap (MGG) and the Bayesian Optimization Algorithm (BOA) in 0/1 combinatorial optimization problem in order to discuss their convergence property. | |||||
言語 | en | |||||
内容記述タイプ | Abstract | |||||
出版者 | ||||||
言語 | ja | |||||
出版者 | 情報処理学会 | |||||
言語 | ||||||
言語 | jpn | |||||
資源タイプ | ||||||
資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
ISSN | ||||||
収録物識別子タイプ | PISSN | |||||
収録物識別子 | 03875806 | |||||
書誌情報 |
ja : 情報処理学会論文誌 巻 47, p. 16-30, 発行日 2006-10 |
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フォーマット | ||||||
application/pdf | ||||||
著者版フラグ | ||||||
値 | publisher | |||||
URI | ||||||
識別子 | http://hdl.handle.net/2237/10304 | |||||
識別子タイプ | HDL |