{"created":"2023-07-27T06:24:47.982150+00:00","id":7854,"links":{},"metadata":{"_buckets":{"deposit":"0e5f2cb8-63d5-4807-b33f-cfc988e52c2b"},"_deposit":{"created_by":3,"id":"7854","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"7854"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00007854","sets":["2438:4190:4191"]},"author_link":["275","9858","2120","79292","9720","966"],"item_4_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2008-06-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"742","bibliographicPageEnd":"1583","bibliographicPageStart":"1575","bibliographicVolumeNumber":"74","bibliographic_titles":[{"bibliographic_title":"Nihon Kikai Gakkai Ronbunshu, C Hen / Transactions of the Japan Society of Mechanical Engineers, Part C"}]}]},"item_4_creator_33":{"attribute_name":"著者別表示","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"北山, 哲士"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"荒川, 雅生"}],"nameIdentifiers":[{},{},{}]},{"creatorNames":[{"creatorName":"山崎, 光悦"}],"nameIdentifiers":[{},{}]}]},"item_4_description_21":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this paper, a simple method for the multi-objective optimization problems by the Particle Swarm Optimization (PSO) is proposed. The objectives of the Multi Objective Evolutionary Algorithms (MOEA) are summarized as follows : (1) To find the pareto optimal solutions, (2) To find the pareto optimal solutions as diverse as possible. To achieve these objectives by the PSO for the single objective problems, we propose how to define the g-best in this swarm without introducing some new parameters. That is, one particle among the non-inferior solutions is selected as the g-best to achieve the diversity among the non inferior solutions. The relative distance in the objective space is utilized to select the gbest among the non-inferior solutions. Additionally, some particles among the non inferior solutions are also selected as the gbest of the inferior solutions to find the pareto optimal solutions. The absolute distance in the objective space is utilized to select the g-best of the inferior solutions. We also show the geometric interpretation about the movement of particles. The validity of proposed approach is examined through typical numerical examples.","subitem_description_type":"Abstract"}]},"item_4_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.24517/00007841","subitem_identifier_reg_type":"JaLC"}]},"item_4_publisher_17":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"日本機械学会"}]},"item_4_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1299/kikaic.74.1575","subitem_relation_type_select":"DOI"}}]},"item_4_source_id_11":{"attribute_name":"NCID","attribute_value_mlt":[{"subitem_source_identifier":"AN00187463","subitem_source_identifier_type":"NCID"}]},"item_4_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0387-5024","subitem_source_identifier_type":"ISSN"}]},"item_4_text_2":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_text_value":"非劣解の多様性を考慮した多目的 Particle Swarm Optimization"}]},"item_4_version_type_25":{"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":"Kitayama, Satoshi"}],"nameIdentifiers":[{},{},{},{}]},{"creatorNames":[{"creatorName":"Arakawa, Masao"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"Yamazaki, Koetsu"}],"nameIdentifiers":[{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-10-03"}],"displaytype":"detail","filename":"TE-PR-KITAYAMA-T-1575.pdf","filesize":[{"value":"484.0 kB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"TE-PR-KITAYAMA-T-1575.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/7854/files/TE-PR-KITAYAMA-T-1575.pdf"},"version_id":"1c4152be-fb86-44f3-bf4d-91460fae61ae"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Multi-objective Particle Swarm Optimization considering the diversity of the inferior solutions","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Multi-objective Particle Swarm Optimization considering the diversity of the inferior solutions"}]},"item_type_id":"4","owner":"3","path":["4191"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-10-03"},"publish_date":"2017-10-03","publish_status":"0","recid":"7854","relation_version_is_last":true,"title":["Multi-objective Particle Swarm Optimization considering the diversity of the inferior solutions"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-07-27T10:23:51.003383+00:00"}