{"created":"2020-09-01T15:20:29.393403+00:00","id":4767,"links":{},"metadata":{"_buckets":{"deposit":"c254ff7c-6850-409d-b4b7-6cb201782014"},"_deposit":{"id":"4767","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4767"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4767","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Parallel Differential Evolution Algorithm with Multiple Trial Vectors to Artificial Neural Network Training","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"In this paper, parallel differential evolutionalgorithm with multiple trial vectors for trainingartificial neural networks (ANNs) is presented. Theproposed method is PDEA, which is a DE-ANN+modified by adding island model. Within PDEA, anisland model is designed to cooperatively search forthe global optima in search space. By combining thestrengths of the differential evolution algorithm withmultiple trial vectors and island model, PDEA greatlyimproves the optimization performance. PDEAalgorithm is used for ANN training to classify theparity-p problem. Results obtained using proposedalgorithm has been compared to the results obtainedusing other evolutionary algorithms."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Artificial Intelligence"},{"interim":"artificial neural network"},{"interim":"differential evolution algorithm"},{"interim":"multiple and trial vectors"},{"interim":"training method"},{"interim":"island model"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-02"}],"displaytype":"preview","filename":"1.Parallel Differential Evolution Algorithm with Multiple Tr.pdf","filesize":[{"value":"113 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4767/files/1.Parallel Differential Evolution Algorithm with Multiple Tr.pdf"},"version_id":"261b57d8-1108-46a8-9a38-77c509271437"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Thirteenth International Conferences on Computer Applications(ICCA 2015)","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":"Thein, Htet Thazin Tike"},{"subitem_authors_fullname":"Tun, Khin Mo Mo"}]}]},"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":"2015-02-05"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/63"},"item_title":"Parallel Differential Evolution Algorithm with Multiple Trial Vectors to Artificial Neural Network Training","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-02","publish_status":"0","recid":"4767","relation_version_is_last":true,"title":["Parallel Differential Evolution Algorithm with Multiple Trial Vectors to Artificial Neural Network Training"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T06:20:36.326344+00:00"}