{"created":"2025-01-19T01:15:08.384539+00:00","updated":"2025-01-19T16:49:28.293046+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214317","sets":["1164:2735:10526:10756"]},"path":["10756"],"owner":"44499","recid":"214317","title":["群知能の相互作用構造を導入した適応的差分進化による連続最適化問題の解法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-12-06"},"_buckets":{"deposit":"73006c7b-915b-4f92-8143-0365a125d543"},"_deposit":{"id":"214317","pid":{"type":"depid","value":"214317","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"群知能の相互作用構造を導入した適応的差分進化による連続最適化問題の解法","author_link":["549488","549489","549487","549490"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"群知能の相互作用構造を導入した適応的差分進化による連続最適化問題の解法"},{"subitem_title":"An Algorithm for Continuous Optimization Problem using Adaptive Differential Evolution introducing Interaction Structure of Swarm Intelligence","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2021-12-06","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京都市大学大学院"},{"subitem_text_value":"東京都市大学大学院"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduated School of Tokyo City University","subitem_text_language":"en"},{"subitem_text_value":"Graduated School of Tokyo City University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"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/214317/files/IPSJ-MPS21136020.pdf","label":"IPSJ-MPS21136020.pdf"},"date":[{"dateType":"Available","dateValue":"2023-12-06"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS21136020.pdf","filesize":[{"value":"367.0 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"1d4db68a-eff2-4167-9829-5942c665ddbd","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"岩崎, 丈徳"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"穴田, 一"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takenori, Iwasaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hajime, Anada","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ニューラルネットワークの学習やエネルギーシステムの制御，新幹線の形状設計など多くの工学分野や産業分野の問題が連続最適化問題を解くことに帰着できる．しかし，これらのほとんどの問題は現実的な時間内で厳密解を求めることが困難であるため，高速かつ高精度に解探索できる，生物の進化や群れ行動を模倣した進化計算（EC）と呼ばれる近似解法が研究されてきた．その EC の 1 つに差分進化（DE）という手法があり，DE のパラメータ調整を動的に行う適応的差分進化が提案されているが，集団内の情報を有効活用しないまま収束してしまう．そこで本研究では，群れ行動の相互作用を導入した適応的差分進化を提案し，その有効性を確認した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"2","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-12-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"20","bibliographicVolumeNumber":"2021-MPS-136"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214317,"links":{}}