{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235606","sets":["1164:2735:11468:11702"]},"path":["11702"],"owner":"44499","recid":"235606","title":["Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-07-15"},"_buckets":{"deposit":"f5584d07-b442-4bf6-84e1-e2199f222ea7"},"_deposit":{"id":"235606","pid":{"type":"depid","value":"235606","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization","author_link":["643818","643817","643821","643822","643823","643820","643824","643819"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization"},{"subitem_title":"Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2024-07-15","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science and Technology, Hokkaido University"},{"subitem_text_value":"Graduate School of Information Science and Technology, Hokkaido University"},{"subitem_text_value":"Graduate School of Information Science and Technology, Hokkaido University"},{"subitem_text_value":"Information Initiative Center, Hokkaido University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science and Technology, Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"Information Initiative Center, Hokkaido University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/235606/files/IPSJ-MPS24149009.pdf","label":"IPSJ-MPS24149009.pdf"},"date":[{"dateType":"Available","dateValue":"2026-07-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS24149009.pdf","filesize":[{"value":"1.8 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":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"9583f2b4-9998-4e1d-8332-e1ab2e4930e7","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Rui, Zhong"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yang, Cao"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Enzhi, Zhang"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masaharu, Munetomo"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Rui, Zhong","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yang, Cao","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Enzhi, Zhang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masaharu, Munetomo","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":"This paper introduces a novel competitive mechanism into differential evolution (CDE). CDE features a simple yet efficient mutation strategy: DE/winner-to-best/1. Essentially, the proposed DE/winner-to-best/1 strategy can be recognized as an intelligent integration of the existing mutation strategies of DE/rand-to-best/1 and DE/cur-to-best/1. The incorporation of DE/winner-to-best/1 and the competitive mechanism provide new avenues for advancing DE techniques. To investigate the performance of the proposed CDE, comprehensive numerical experiments are conducted on engineering simulation optimization tasks with other state-of-the-art optimizers and DE variants employed as competitor algorithms. The experimental results and statistical analyses highlight the promising potential of CDE as an alternative optimizer for addressing diverse optimization challenges.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper introduces a novel competitive mechanism into differential evolution (CDE). CDE features a simple yet efficient mutation strategy: DE/winner-to-best/1. Essentially, the proposed DE/winner-to-best/1 strategy can be recognized as an intelligent integration of the existing mutation strategies of DE/rand-to-best/1 and DE/cur-to-best/1. The incorporation of DE/winner-to-best/1 and the competitive mechanism provide new avenues for advancing DE techniques. To investigate the performance of the proposed CDE, comprehensive numerical experiments are conducted on engineering simulation optimization tasks with other state-of-the-art optimizers and DE variants employed as competitor algorithms. The experimental results and statistical analyses highlight the promising potential of CDE as an alternative optimizer for addressing diverse optimization challenges.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-07-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"2024-MPS-149"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:37:10.532295+00:00","updated":"2025-01-19T09:35:39.710259+00:00","id":235606}