{"_buckets": {"deposit": "facfed9a-188e-4949-a9da-3482f4be452c"}, "_deposit": {"id": "7762", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "7762"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00007762"}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2007", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "177", "bibliographicPageStart": "172", "bibliographic_titles": [{"bibliographic_title": "IEEE Symposium on Computational Intelligence in Multicriteria Decision Making"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "Recently, the rapid progresses of computers introduce evolutionary computations to next step, which is the demand for the variety of Pareto solutions in multi-objective optimization problems. We can calculate a large amount of Pareto solutions in a short time. However, it is difficult to use the acquired Pareto solutions effectively, because the Pareto solutions have multi-dimension of fitness values. This study tries to develop \u201cMining of solutions\u201d technique with visualization. This paper proposes a visualizing method for Pareto solutions which have multi-objective fitness values. The proposed method enables us to grasp the distributed structure of Pareto solutions and clarify the relationship among multi-objective fitness values. This paper shows that the visualized data enables us to interpret the characteristics of Pareto solutions through experimental result.", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/9482"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "IEEE"}]}, "item_10_relation_11": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "http://dx.doi.org/10.1109/MCDM.2007.369407", "subitem_relation_type_select": "DOI"}}]}, "item_10_relation_8": {"attribute_name": "ISBN", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "1-4244-0702-8", "subitem_relation_type_select": "ISBN"}}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "Copyright \u00a9 2007 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University\u2019s products or services. Internal or 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 must be obtained from the IEEE by writing to pubs-permissions@ieee.org."}]}, "item_10_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_text_14": {"attribute_name": "\u30d5\u30a9\u30fc\u30de\u30c3\u30c8", "attribute_value_mlt": [{"subitem_text_value": "application/pdf"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Yoshikawa, Tomohiro"}], "nameIdentifiers": [{"nameIdentifier": "22018", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yamashiro, Daisuke"}], "nameIdentifiers": [{"nameIdentifier": "22019", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Furuhashi, Takeshi"}], "nameIdentifiers": [{"nameIdentifier": "22020", "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": "2018-02-19"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "yoshikawa_1.pdf", "filesize": [{"value": "233.0 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 233000.0, "url": {"label": "yoshikawa_1.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/7762/files/yoshikawa_1.pdf"}, "version_id": "38073203-e4eb-4e2f-bcf4-1c9f26c095c0"}]}, "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": "A Proposal of  Visualization of Multi-Objective Pareto Solutions  -Development of Mining Technique for Solutions-", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "A Proposal of  Visualization of Multi-Objective Pareto Solutions  -Development of Mining Technique for Solutions-"}]}, "item_type_id": "10", "owner": "1", "path": ["320/321/322"], "permalink_uri": "http://hdl.handle.net/2237/9482", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2008-02-26"}, "publish_date": "2008-02-26", "publish_status": "0", "recid": "7762", "relation": {}, "relation_version_is_last": true, "title": ["A Proposal of  Visualization of Multi-Objective Pareto Solutions  -Development of Mining Technique for Solutions-"], "weko_shared_id": 3}