{"created":"2023-07-27T07:45:40.958068+00:00","id":19932,"links":{},"metadata":{"_buckets":{"deposit":"8be80e84-377e-4a33-9e2f-e10ff07681a9"},"_deposit":{"created_by":21,"id":"19932","owners":[21],"pid":{"revision_id":0,"type":"depid","value":"19932"},"status":"published"},"_oai":{"id":"oai:doshisha.repo.nii.ac.jp:00019932","sets":["4251:8393:8394:8395:8426","8:3372:3812:3843"]},"author_link":["15425","15426","15427"],"item_1693811493084":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1694490770713":{"attribute_name":"権利者情報","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"DA03974933","nameIdentifierScheme":"AID"}],"rightHolderNames":[{"rightHolderLanguage":"ja","rightHolderName":"同志社大学理工学研究所"},{"rightHolderLanguage":"en","rightHolderName":"Science and Engineering Research Institute of Doshisha University"}]}]},"item_1_biblio_info_14":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2007-07-31","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"95","bibliographicPageStart":"[86]","bibliographicVolumeNumber":"48","bibliographic_titles":[{"bibliographic_title":"同志社大学理工学研究報告","bibliographic_titleLang":"ja"},{"bibliographic_title":"The Science and Engineering Review of Doshisha University","bibliographic_titleLang":"en"}]}]},"item_1_description_12":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"多くの実問題において、多目的遺伝的アルゴリズムでパレート解を求める場合、高い計算コストが問題となる。計算コストを 軽減する方法の一つとして、少数個体での探索が考えられる。しかしながら、計算コストの削減は図られるが、少数個体での探索は、探索過程において多様性の低下が生じ、精度の高いパレート解が求めにくいという問題が生じる。それに対して、探索過程において、解の偏りが生じた場合には、解を均等に再配置することで、少数個体においてもよりよいパレート解が得られる可能性がある。しかしながら、この場合、再配置したい空間が目的関数空間であるために、目的関数値から設計変数値を導出する逆解析を行う必要がある。そこで本論文では、ニューラルネットワーク(Neural Network:NN) で目的関数の逆関数を近似し、探索過程における多様性の低下を軽減することで、多様性を維持した探索を行うメカニズムを提案する。提案手法を代表的な多目的GA手法であるNSGA-IIに組み込み、テスト関数を用いて探索に及ぼす影響について検討を行った。 ANNによる多様性維持メカニズムを組み込んだNSGA-IIが従来のNSGA-IIより優れた探索性能を示す関数や、効果が発揮できない場合などを検討した。","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"When multi-objective genetic algorithm is applied to real world problems for deriving Pareto optimum solutions, high calculation cost becomes a problem. One of solutions of this problem is using small number of population size. With this solution, however, it often happens that the diversity of the solutions is lost. Then the solutions which have the sufficient precisions cannot be derived. For overcoming this difficulty, the solutions should be re-placed when the solutions are concentrated on a certain point. To perform this re-placement, inverse analyze to derive the design variables from objects since the solutions are located in the objective space. For this purpose, in this paper, the Artificial Neural Network (ANN) is applied. Using ANN, the solutions which are concentrated on certain points are re-placed and the diversity of the solutions is maintained. In this paper, the new mechanism using ANN to keep the diversity of the solutions is proposed. The proposed mechanism is introduced into NSGA-II and applied for the test functions. It is discussed that in some test functions the proposed mechanism is useful compared to the conventional method. At the same time, it is also discussed that in other functions the proposed mechanism is not useful. In other numerical experiments, the results of the proposed algorithm with plentifully population are discussed and the affection of the proposed mechanism is also described.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_1_description_25":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_1_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.14988/pa.2017.0000011137","subitem_identifier_reg_type":"JaLC"}]},"item_1_publisher_15":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"同志社大学理工学研究所","subitem_publisher_language":"ja"}]},"item_1_publisher_16":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_publisher":"Science and Engineering Research Institute of Doshisha University","subitem_publisher_language":"en"}]},"item_1_relation_24":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_language":"ja","subitem_relation_name_text":"掲載刊行物所蔵情報へのリンク ／ Link to Contents"}],"subitem_relation_type":"isFormatOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doors.doshisha.ac.jp/opac/opac_link/bibid/SB00960326/?lang=0","subitem_relation_type_select":"URI"}}]},"item_1_source_id_17":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"00368172","subitem_source_identifier_type":"PISSN"}]},"item_1_source_id_19":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00165868","subitem_source_identifier_type":"NCID"}]},"item_1_subject_27":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"007.1","subitem_subject_scheme":"NDC"}]},"item_1_text_8":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"小林, 賢二 / Graduate Student, Department of Knowledge Engineering and Computer Sciences, Doshisha University, Kyoto"},{"subitem_text_language":"ja","subitem_text_value":"廣安, 知之 / 同志社大学工学部インテリジェント情報工学科准教授"},{"subitem_text_language":"ja","subitem_text_value":"三木, 光範 / 同志社大学工学部インテリジェント情報工学科教授"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小林, 賢二","creatorNameLang":"ja"},{"creatorName":"コバヤシ, ケンジ","creatorNameLang":"ja-Kana"},{"creatorName":"Kobayashi, Kenji","creatorNameLang":"en"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"Hiroyasu, Tomoyuki","creatorNameLang":"en"},{"creatorName":"廣安, 知之","creatorNameLang":"ja"},{"creatorName":"ヒロヤス, トモユキ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{}]},{"creatorNames":[{"creatorName":"三木, 光範","creatorNameLang":"ja"},{"creatorName":"ミキ, ミツノリ","creatorNameLang":"ja-Kana"},{"creatorName":"Miki, Mitsunori","creatorNameLang":"en"}],"nameIdentifiers":[{},{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2008-04-15"}],"displaytype":"detail","filename":"023048020004.pdf","filesize":[{"value":"1.1 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"023048020004.pdf","url":"https://doshisha.repo.nii.ac.jp/record/19932/files/023048020004.pdf"},"version_id":"ddc2b86e-57af-4a48-ad04-370d5b25ff20"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"多目的最適化","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"逆問題","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"ニューラルネットワーク","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"多様性","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"近似","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"multi-objective optimization","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"inverse problem","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"neural network","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"diversity","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"approximation","subitem_subject_language":"en","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":"ニューラルネットワークの利用による多様性維持メカニズムを有する多目的遺伝的アルゴリズム","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ニューラルネットワークの利用による多様性維持メカニズムを有する多目的遺伝的アルゴリズム","subitem_title_language":"ja"},{"subitem_title":"ニューラルネットワーク ノ リヨウ ニ ヨル タヨウセイ イジ メカニズム オ ユウスル タモクテキ イデンテキ アルゴリズム","subitem_title_language":"ja-Kana"},{"subitem_title":"Mechanism of Multi-Objective Genetic Algorithm for Maintaining the Solution Diversity Using Neural Network","subitem_title_language":"en"}]},"item_type_id":"1","owner":"21","path":["3843","8426"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2007-07-24"},"publish_date":"2007-07-24","publish_status":"0","recid":"19932","relation_version_is_last":true,"title":["ニューラルネットワークの利用による多様性維持メカニズムを有する多目的遺伝的アルゴリズム"],"weko_creator_id":"21","weko_shared_id":-1},"updated":"2024-02-29T06:13:28.124171+00:00"}