{"created":"2025-01-19T01:29:04.725428+00:00","updated":"2025-01-19T11:26:21.403213+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229739","sets":["6504:11436:11438"]},"path":["11438"],"owner":"44499","recid":"229739","title":["発展する相互作用ネットワークと遺伝子の相関に基づく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":"2023-02-16"},"_buckets":{"deposit":"e4c73fd8-1aca-4f63-9a32-3eb0dd8c7697"},"_deposit":{"id":"229739","pid":{"type":"depid","value":"229739","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"発展する相互作用ネットワークと遺伝子の相関に基づく適応的差分進化による連続最適化問題の解法","author_link":["617966","617967"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"発展する相互作用ネットワークと遺伝子の相関に基づく適応的差分進化による連続最適化問題の解法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ソフトウェア科学・工学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京都市大"},{"subitem_text_value":"東京都市大"}]},"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/229739/files/IPSJ-Z85-7M-08.pdf","label":"IPSJ-Z85-7M-08.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-7M-08.pdf","filesize":[{"value":"369.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"1fa6ce05-4ec4-4b7f-a8c3-91496eeb400a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_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_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_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最適化問題を解くことに帰着される．しかし，ほとんどの問題が現実的な時間内で厳密解の求解が困難になってしまうため，生物の進化や群れ行動を模倣した進化計算（EC）という近似解法の枠組みが存在する．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，多峰性関数における探索性能の低い．そこで本研究では，相互作用ネットワークを取り入れ，遺伝子の相関を考慮することで局所解に陥りにくく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_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"428","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"427","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229739,"links":{}}