{"_buckets": {"deposit": "5a7d687b-099b-4bf1-bf4d-6e390302dc59"}, "_deposit": {"id": "4598", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4598"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4598", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "An Improved Differential Evolution Algorithm with Opposition-Based Learning for Clustering Problems", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Differential Evolution (DE) is a popularefficient population-based stochastic optimizationtechnique for solving real-world optimizationproblems in various domains. In knowledge discoveryand data mining, optimization-based patternrecognition has become an important field, andoptimization approaches have been exploited toenhance the efficiency and accuracy of classification,clustering and association rule mining. Like otherpopulation-based approaches, the performance of DErelies on the positions of initial population which maylead to the situation of stagnation and prematureconvergence. This paper describes a differentialevolution algorithm for solving clustering problems,in which opposition-based learning (OBL) is utilizedto create high-quality solutions for initial population,and enhance the performance of clustering. Theexperimental test has been carried out on some UCIstandard datasets that are mostly used foroptimization-based clustering. According to theresults, the proposed algorithm is more efficient androbust than classical DE based clustering."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "differential evolution algorithm"}, {"interim": "clustering"}, {"interim": "opposition-based learning"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-03-17"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "An Improved Differential Evolution Algorithm with Opposition-Based Learning for Clustering Problems.pdf", "filesize": [{"value": "317 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 317000.0, "url": {"url": "https://meral.edu.mm/record/4598/files/An Improved Differential Evolution Algorithm with Opposition-Based Learning for Clustering Problems.pdf"}, "version_id": "d3b825c4-9937-4358-bb53-6a048985ca5c"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Cho, Pyae Pyae Win"}, {"subitem_authors_fullname": "Nyunt, Thi Thi Soe"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2020-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "978-1-7281-5925-6"}, "item_title": "An Improved Differential Evolution Algorithm with Opposition-Based Learning for Clustering Problems", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004598", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-03-17"}, "publish_date": "2020-03-17", "publish_status": "0", "recid": "4598", "relation": {}, "relation_version_is_last": true, "title": ["An Improved Differential Evolution Algorithm with Opposition-Based Learning for Clustering Problems"], "weko_shared_id": -1}