{"created":"2023-05-15T12:25:32.573578+00:00","id":837,"links":{},"metadata":{"_buckets":{"deposit":"6c47201e-7965-41fd-94c7-7dc35674a678"},"_deposit":{"created_by":4,"id":"837","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"837"},"status":"published"},"_oai":{"id":"oai:kait.repo.nii.ac.jp:00000837","sets":["2:16:41:112"]},"author_link":[],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1998-03-20","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"155","bibliographicPageStart":"147","bibliographicVolumeNumber":"22","bibliographic_titles":[{"bibliographic_title":"神奈川工科大学研究報告.B,理工学編"}]}]},"item_10002_description_19":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Finding out the maximum of the De Jong's No.5 function (a kind of multimodal function) was performed\nby a parallel genetic algorithm accompanied with intermitにntmigration. In a hundred trials of evolutionary\ncomputation, we obtained the correct answer 95 times up to 50 generations, and 97 times up to 500 generations.\nThese results prove that this method m血tainsnon-uniformity of individuals in a long period as compared both\nwith parallel evolutionary computation without any migration and serial evolutionary computation treating\nthe whole individuals as a single population.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.34411/00000830","subitem_identifier_reg_type":"JaLC"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"神奈川工科大学"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10074179","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09161902","subitem_source_identifier_type":"PISSN"}]},"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":"山本, 富士男","creatorNameLang":"ja"},{"creatorName":"Yamamoto, Fujio","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"荒木, 智行","creatorNameLang":"ja"},{"creatorName":"Araki, Tomoyuki","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2010-02-03"}],"displaytype":"detail","filename":"kkb-022-024.pdf","filesize":[{"value":"3.5 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"kkb-022-024.pdf","objectType":"fulltext","url":"https://kait.repo.nii.ac.jp/record/837/files/kkb-022-024.pdf"},"version_id":"e1deed77-5260-4096-97b6-cdef1216d515"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Genetic Algorithm","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Parallel Computing","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Maximum","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":"並列遺伝的アルゴリズムによる多峰性関数の最大値探索","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"並列遺伝的アルゴリズムによる多峰性関数の最大値探索","subitem_title_language":"ja"},{"subitem_title":"Finding the Maximum of Multi modal Functions by a Parallel Genetic Algorithm","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"4","path":["112"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2020-11-24"},"publish_date":"2020-11-24","publish_status":"0","recid":"837","relation_version_is_last":true,"title":["並列遺伝的アルゴリズムによる多峰性関数の最大値探索"],"weko_creator_id":"4","weko_shared_id":-1},"updated":"2025-06-05T05:49:57.804165+00:00"}