{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00013940","sets":["581:755:764"]},"path":["764"],"owner":"1","recid":"13940","title":["温度並列シミュレーテッド・アニーリング法とその評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"1995-04-15"},"_buckets":{"deposit":"16782da3-1a83-433d-b50c-736bcc4df217"},"_deposit":{"id":"13940","pid":{"type":"depid","value":"13940","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"温度並列シミュレーテッド・アニーリング法とその評価","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"温度並列シミュレーテッド・アニーリング法とその評価"},{"subitem_title":"Temperature Parallel Simulated Annealing Algorithm and Its Evaluation","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"論文","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"1995-04-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"神戸大学大学院自然科学研究科知能科学専攻"},{"subitem_text_value":"神戸大学工学部情報知能工学科"},{"subitem_text_value":"（財）新世代コンピュータ技術開発機構／現在　（株）日立製作所中央研究所"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Division of Intelligent Science, Graduate School of Science and Technology, Kobe University","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer and Systems Engineering, Faculty of Engineering, Kobe University","subitem_text_language":"en"},{"subitem_text_value":"Institute for New Generation Computer Technology/Presently with Central Research Laboratory, Hitachi, Ltd","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/13940/files/IPSJ-JNL3604002.pdf"},"date":[{"dateType":"Available","dateValue":"1997-04-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL3604002.pdf","filesize":[{"value":"1.3 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"cd8e2609-d6ef-4cdb-a45e-181e09182c14","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 1995 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小西, 健三"},{"creatorName":"瀧, 和男"},{"creatorName":"木村, 宏一"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kenzo, Konishi","creatorNameLang":"en"},{"creatorName":"Kazuo, Taki","creatorNameLang":"en"},{"creatorName":"Kouichi, Kimura","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では、新たなシミュレーテッド・アニーリング（SA）法の並行（コンカレント）アルゴリズムとして「温度並列SA法」を提案し、その評価を行う。温度並列SA法は、温度スケジュールの白動化、時間一様性（任意の時点での終了、あるし）は継続による解の改善が可能）、並列処理との高い親和性、という優れた性質を持つものである。本アルゴリズムは開発以来応用が先行しており、逐次SA法と比較した場合の最適化能力、実行時問の優劣については明らかでなかった。そこで本論文では、まず温度並列SAアルゴリズムについて報告し、次に逐次SA法との比較評価を実験的に行った。最適化能力における温度並列SA法と逐次SA法の比較では、同じアニーリングステップ数での比較に加えて、同じCPU時間を与えた場合の比較においても、温度並列SA法の方が優れていることが判明した。つまり、1台のCPUで同じ計算時間をかける場合でも、逐次SA法より温度並列SA法の方が良質の解が得られることを示しており、温度並列SA法のアルゴリズム自体の優位性を確認した。また、処理時問の短縮という観点からは、温度並列SA法は温度数まで並列処理が可能であり、また、従来の並列SA法とは異なり、並列実行しても最適化能力が劣化しないことも確認した。","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"807","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"797","bibliographicIssueDates":{"bibliographicIssueDate":"1995-04-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"36"}]},"relation_version_is_last":true,"item_2_alternative_title_2":{"attribute_name":"その他タイトル","attribute_value_mlt":[{"subitem_alternative_title":"基礎理論"}]},"weko_creator_id":"1"},"id":13940,"updated":"2025-01-23T01:00:42.762561+00:00","links":{},"created":"2025-01-18T22:47:53.524714+00:00"}