{"created":"2023-06-20T13:44:20.190447+00:00","id":2305,"links":{},"metadata":{"_buckets":{"deposit":"3fbfb04b-bc65-4ea6-ad9a-25e0e1e96d6d"},"_deposit":{"created_by":2,"id":"2305","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"2305"},"status":"published"},"_oai":{"id":"oai:fut.repo.nii.ac.jp:00002305","sets":["1"]},"author_link":["16940","16938","16937","16939"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-12-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"49","bibliographicPageEnd":"63","bibliographicPageStart":"55","bibliographic_titles":[{"bibliographic_title":"福井工業大学研究紀要"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"A constrained optimization problem for minimizing an objective function under given constraints, especially a nonlinear optimization problem, appears frequently in a real problem. Recently, particle swarm optimization method has been developed for solving the optimization problems and several optimization algorithms in the particle swarm optimization method have been proposed for the constrained optimization problems. In this study, new algorithm is proposed for solving the constrained optimization problems, in which the Lagrangian function is introduced and the values for the Lagrange multipliers are set at 1.0 for active constraints and 0.0 for inactive constraints. In the minimization process, the term of constrains in the Lagrangian function is exclusively minimized in non-feasible region and the whole of the function is minimized in near feasible region. The effectiveness and robustness of the proposed algorithm is illustrated by comparing the results for several constrained optimization problems obtained by the αPSO and αGA.","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"福井工業大学"}]},"item_10002_relation_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"TF10121956","subitem_relation_type_select":"NCID"}}]},"item_10002_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"谷脇, 一弘"}],"nameIdentifiers":[{"nameIdentifier":"16937","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"王, 志華"}],"nameIdentifiers":[{"nameIdentifier":"16938","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kazuhiro, Taniwaki","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"16939","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Zhihua, Wang","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"16940","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2023-05-12"}],"displaytype":"detail","filename":"055-063.pdf","filesize":[{"value":"7.2 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"055-063.pdf","url":"https://fut.repo.nii.ac.jp/record/2305/files/055-063.pdf"},"version_id":"b2159376-35dd-4495-8e30-10a4e80905b6"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Particle swarm optimization, constrained optimization problem, robustness of algorithm","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"制約条件付き最適化問題に対する粒子群最適化法のロバスト性の検討","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"制約条件付き最適化問題に対する粒子群最適化法のロバスト性の検討"},{"subitem_title":"Investigation on Robustness of Particle Swarm Optimization Method for Constrained Optimization Problems","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"2","path":["1"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-03-05"},"publish_date":"2020-03-05","publish_status":"0","recid":"2305","relation_version_is_last":true,"title":["制約条件付き最適化問題に対する粒子群最適化法のロバスト性の検討"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-06-20T13:59:29.479824+00:00"}