{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T23:10:39Z","timestamp":1780441839534,"version":"3.54.1"},"reference-count":49,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T00:00:00Z","timestamp":1629849600000},"content-version":"vor","delay-in-days":236,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976242"],"award-info":[{"award-number":["61976242"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010850","name":"Hebei University of Technology","doi-asserted-by":"publisher","award":["JBKYTD2002"],"award-info":[{"award-number":["JBKYTD2002"]}],"id":[{"id":"10.13039\/501100010850","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>The feature selection problem is a fundamental issue in many research fields. In this paper, the feature selection problem is regarded as an optimization problem and addressed by utilizing a large\u2010scale many\u2010objective evolutionary algorithm. Considering the number of selected features, accuracy, relevance, redundancy, interclass distance, and intraclass distance, a large\u2010scale many\u2010objective feature selection model is constructed. It is difficult to optimize the large\u2010scale many\u2010objective feature selection optimization problem by using the traditional evolutionary algorithms. Therefore, this paper proposes a modified vector angle\u2010based large\u2010scale many\u2010objective evolutionary algorithm (MALSMEA). The proposed algorithm uses polynomial mutation based on variable grouping instead of naive polynomial mutation to improve the efficiency of solving large\u2010scale problems. And a novel worst\u2010case solution replacement strategy using shift\u2010based density estimation is used to replace the poor solution of two individuals with similar search directions to enhance convergence. The experimental results show that MALSMEA is competitive and can effectively optimize the proposed model.<\/jats:p>","DOI":"10.1155\/2021\/9961727","type":"journal-article","created":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T23:50:11Z","timestamp":1629935411000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Feature Selection Based on a Large\u2010Scale Many\u2010Objective Evolutionary Algorithm"],"prefix":"10.1155","volume":"2021","author":[{"given":"Yue","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5750-219X","authenticated-orcid":false,"given":"Zhiheng","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8272-9553","authenticated-orcid":false,"given":"Xin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei-Tung","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Der-Juinn","family":"Horng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6049-1161","authenticated-orcid":false,"given":"Kuei-Kuei","family":"Lai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,8,25]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2017.2702059"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygeno.2019.11.004"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.24846\/v29i1y202010"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2018.2821441"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2005.159"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.06.075"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.07.007"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2444435"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-04324-5"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.01.048"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2018.2866927"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/5126239"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.04.003"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2016.2600642"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.02.066"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1162\/evco_a_00075"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-017-0998-9"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/tsmcb.2008.926329"},{"key":"e_1_2_9_19_2","doi-asserted-by":"crossref","unstructured":"YuanJ. C.andLiuH. L. A new dominance relation based on simplex for many objective optimization problems Proceedings of the 2016 12th International Conference on Computational Intelligence and Security (CIS) December 2016 Wuxi China 175\u2013178 https:\/\/doi.org\/10.1109\/CIS.2016.0048.","DOI":"10.1109\/CIS.2016.0048"},{"key":"e_1_2_9_20_2","doi-asserted-by":"crossref","unstructured":"ChongJ. K.andTanK. C. A novel grid-based differential evolution (DE) algorithm for many-objective optimization Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC) July 2016 Vancouver Canada 2776\u20132783 https:\/\/doi.org\/10.1109\/CEC.2016.7744139 2-s2.0-85008250434.","DOI":"10.1109\/CEC.2016.7744139"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2020.2991040"},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2013.2262178"},{"key":"e_1_2_9_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2016.12.002"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2791283"},{"key":"e_1_2_9_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2019.2960302"},{"key":"e_1_2_9_26_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-04258-y"},{"key":"e_1_2_9_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2007.892759"},{"key":"e_1_2_9_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2015.2403131"},{"key":"e_1_2_9_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.08.084"},{"key":"e_1_2_9_30_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-04565-4"},{"key":"e_1_2_9_31_2","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2013.2281535"},{"key":"e_1_2_9_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2016.2519378"},{"key":"e_1_2_9_33_2","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2017.2695579"},{"key":"e_1_2_9_34_2","doi-asserted-by":"publisher","DOI":"10.1631\/fitee.1900321"},{"key":"e_1_2_9_35_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.03.008"},{"key":"e_1_2_9_36_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.06.063"},{"key":"e_1_2_9_37_2","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"Witten I. H.","year":"2011"},{"key":"e_1_2_9_38_2","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2016.2587808"},{"key":"e_1_2_9_39_2","doi-asserted-by":"crossref","unstructured":"ZilleH. IshibuchiH. MostaghimS. andNojimaY. Mutation operators based on variable grouping for multi-objective large-scale optimization Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence (SSCI) December 2016 Athens Greece https:\/\/doi.org\/10.1109\/ssci.2016.7850214 2-s2.0-85015990085.","DOI":"10.1109\/SSCI.2016.7850214"},{"key":"e_1_2_9_40_2","unstructured":"ZilleH. Large-scale multi-objective optimisation: new approaches and a classification of the state-of-the-art 2019 Otto-von-Guericke-Universit\u00e4t Magdeburg Magdeburg Germany Ph.D thesis."},{"key":"e_1_2_9_41_2","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2005.861417"},{"key":"e_1_2_9_42_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2600577"},{"key":"e_1_2_9_43_2","volume-title":"UCI Machine Learning Repository","author":"Bache K.","year":"2019"},{"key":"e_1_2_9_44_2","first-page":"240","volume-title":"Adaptive and Natural Computing Algorithms. ICANNGA 2007","author":"Hamdani T. M.","year":"2009"},{"key":"e_1_2_9_45_2","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2018.2819360"},{"key":"e_1_2_9_46_2","doi-asserted-by":"publisher","DOI":"10.1109\/4235.797969"},{"key":"e_1_2_9_47_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2019.03.009"},{"key":"e_1_2_9_48_2","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2010.2041060"},{"key":"e_1_2_9_49_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-008-0323-y"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/9961727.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/9961727.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/9961727","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T11:12:08Z","timestamp":1722942728000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/9961727"}},"subtitle":[],"editor":[{"given":"Nian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":49,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/9961727"],"URL":"https:\/\/doi.org\/10.1155\/2021\/9961727","archive":["Portico"],"relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"value":"1687-5265","type":"print"},{"value":"1687-5273","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2021-04-03","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-26","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-08-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"9961727"}}