{"_buckets": {"deposit": "5a5fb70e-c06e-4bc3-8e72-dad4e2ed6107"}, "_deposit": {"id": "33", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "33"}, "status": "published"}, "_oai": {"id": "oai:repository.dl.itc.u-tokyo.ac.jp:00000033"}, "item_2_biblio_info_7": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2000-11", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "6", "bibliographicPageEnd": "1331", "bibliographicPageStart": "1323", "bibliographicVolumeNumber": "11", "bibliographic_titles": [{"bibliographic_title": "IEEE transactions on neural networks"}]}]}, "item_2_description_13": {"attribute_name": "\u30d5\u30a9\u30fc\u30de\u30c3\u30c8", "attribute_value_mlt": [{"subitem_description": "application/pdf", "subitem_description_type": "Other"}]}, "item_2_description_5": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "This paper presents an algorithm which realizes fast search for the solutions of combinatorial optimization problems with parallel digital computers. With the standard weight matrices designed for combinatorial optimization, many iterations are required before convergence to a quasioptimal solution even when many digital processors can be used in parallel, By removing the components of the eingenvectors with eminent negative eigenvalues of the weight matrix, the proposed algorithm avoids oscillation and realizes energy reduction under synchronous discrete dynamics, which enables parallel digital computers to obtain quasi-optimal solutions with much less time than the conventional algorithm.", "subitem_description_type": "Abstract"}]}, "item_2_full_name_3": {"attribute_name": "\u8457\u8005\u5225\u540d", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "137", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "\u5ca1\u90e8, \u6d0b\u4e00"}]}, {"nameIdentifiers": [{"nameIdentifier": "138", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "\u639b\u8c37, \u82f1\u7d00"}]}]}, "item_2_publisher_20": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC"}]}, "item_2_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "\u00a92000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE."}]}, "item_2_source_id_10": {"attribute_name": "\u66f8\u8a8c\u30ec\u30b3\u30fc\u30c9ID", "attribute_value_mlt": [{"subitem_source_identifier": "AA10736045", "subitem_source_identifier_type": "NCID"}]}, "item_2_source_id_8": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "10459227", "subitem_source_identifier_type": "ISSN"}]}, "item_2_subject_15": {"attribute_name": "\u65e5\u672c\u5341\u9032\u5206\u985e\u6cd5", "attribute_value_mlt": [{"subitem_subject": "548.96", "subitem_subject_scheme": "NDC"}]}, "item_2_text_34": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_text_value": "Journal Article"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Kakeya, Hideki"}], "nameIdentifiers": [{"nameIdentifier": "135", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Okabe, Yoichi"}], "nameIdentifiers": [{"nameIdentifier": "136", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2017-05-30"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "IEEE_N_N_2000.pdf", "filesize": [{"value": "189.9 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 189900.0, "url": {"label": "IEEE_N_N_2000.pdf", "url": "https://repository.dl.itc.u-tokyo.ac.jp/record/33/files/IEEE_N_N_2000.pdf"}, "version_id": "bd1ac16c-b985-49da-af43-b65bd2019205"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "combinatorial optimization", "subitem_subject_scheme": "Other"}, {"subitem_subject": "eigenspace", "subitem_subject_scheme": "Other"}, {"subitem_subject": "eigenvalue", "subitem_subject_scheme": "Other"}, {"subitem_subject": "eigenvector", "subitem_subject_scheme": "Other"}, {"subitem_subject": "geometry", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Hopfield network", "subitem_subject_scheme": "Other"}, {"subitem_subject": "partition problem", "subitem_subject_scheme": "Other"}, {"subitem_subject": "traveling salesman problem (TSP)", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Fast combinatorial optimization with parallel digital computers", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Fast combinatorial optimization with parallel digital computers"}]}, "item_type_id": "2", "owner": "1", "path": ["12/13", "9/10/14"], "permalink_uri": "http://hdl.handle.net/2261/51", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2006-02-13"}, "publish_date": "2006-02-13", "publish_status": "0", "recid": "33", "relation": {}, "relation_version_is_last": true, "title": ["Fast combinatorial optimization with parallel digital computers"], "weko_shared_id": null}