{"created":"2023-06-20T13:44:22.176084+00:00","id":2350,"links":{},"metadata":{"_buckets":{"deposit":"5427805d-0d41-4319-8e43-1109ffa836f2"},"_deposit":{"created_by":2,"id":"2350","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"2350"},"status":"published"},"_oai":{"id":"oai:fut.repo.nii.ac.jp:00002350","sets":["1"]},"author_link":["17171","17172"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-10-30","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"50","bibliographicPageEnd":"41","bibliographicPageStart":"31","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":"The author illustrates the particle swarm method with minimization of Lagrangian function is an effective method for the constrained optimization problems considering continuous design variables. In the practical optimization problems, the optimum design problems can often be formulated as the discrete optimization problems. In this study, the method is extended to the constrained discrete optimization problems. In the optimization process, the discrete variables are dealt with as continuous variables which indicates the position in the sets of discrete variables. The effectiveness and reliability are illustrated by applying it to the discrete mathematical problems, traveling salesman problem and mixed discrete-continuous design problem of plate girder bridge system.","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":"TF10133400","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":"17171","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kazuhiro, Taniwaki","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"17172","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":"031-041.pdf","filesize":[{"value":"6.1 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"031-041.pdf","url":"https://fut.repo.nii.ac.jp/record/2350/files/031-041.pdf"},"version_id":"4d999e49-fae0-4d14-bd99-f43aa34c3eba"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Particle swarm optimization, constrained discrete optimization, traveling salesman problem, mixed discrete-continuous design problem of plate girder bridge system","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":"ラグランジュ関数最小化PSOの制約条件付離散最適化問題への適用","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ラグランジュ関数最小化PSOの制約条件付離散最適化問題への適用"},{"subitem_title":"Application of Particle Swarm Optimization Method with Minimization of Lagrangian Function to Constrained Discrete Optimization Problems","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"2","path":["1"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-19"},"publish_date":"2021-03-19","publish_status":"0","recid":"2350","relation_version_is_last":true,"title":["ラグランジュ関数最小化PSOの制約条件付離散最適化問題への適用"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-06-20T13:58:52.740236+00:00"}