{"created":"2020-09-01T15:09:53.678422+00:00","id":4598,"links":{},"metadata":{"_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":["1582963302567:1597824273898"]},"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","filename":"An Improved Differential Evolution Algorithm with Opposition-Based Learning for Clustering Problems.pdf","filesize":[{"value":"317 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","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"],"publish_date":"2020-03-17","publish_status":"0","recid":"4598","relation_version_is_last":true,"title":["An Improved Differential Evolution Algorithm with Opposition-Based Learning for Clustering Problems"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T02:18:01.067919+00:00"}