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To make a better performance of multi-objective particle swarm optimization algorithm(MOPSO), decomposition and domination leadership particle selection mechanism have been introduced into MOPSO. Decomposition leader particle selection mechanism is used to keep the swarm with diversity, while domination leader particle selection mechanism make the particles move to the Pareto front. The performance of our proposed method is validated based inverted generation distance(IGD) and compared with five state-of-the-art algorithms on a number of unconstrained benchmark problems. Empirical analysis demonstrates the superiority of our proposed method on both proximity and diversity.<\/jats:p>","DOI":"10.3233\/jifs-17336","type":"journal-article","created":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T11:09:54Z","timestamp":1500635394000},"page":"1577-1588","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Multi-objective particle swarm optimization algorithm based on leader combination of decomposition and dominance"],"prefix":"10.1177","volume":"33","author":[{"given":"Ziyu","family":"Hu","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, PR China"},{"name":"Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingming","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, PR China"},{"name":"Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huihui","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, PR China"},{"name":"Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, PR China"},{"name":"Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lixin","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, PR China"},{"name":"Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,7,21]]},"reference":[{"issue":"3","key":"e_1_3_2_2_2","first-page":"287","article-title":"Multi-objective particle swarm optimizers: A survey of the state-of-the-art","volume":"2","author":"Reyes-Sierra M.","year":"2006","unstructured":"Reyes-SierraM. and Coello CoelloC.A., Multi-objective particle swarm optimizers: A survey of the state-of-the-art, International Journal of Computational Intelligence Research 2(3) (2006), 287\u2013308.","journal-title":"International Journal of Computational Intelligence Research"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2004.826067"},{"key":"e_1_3_2_4_2","volume-title":"Evolutionary Computation, 2002 CEC \u201902 Proceedings of the 2002 Congress on","author":"Coello C.A.C.","year":"2002","unstructured":"CoelloC.A.C. and LechugaM.S., editors. 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