{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T04:14:32Z","timestamp":1754108072745,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,5]]},"DOI":"10.1109\/cec.2009.4983257","type":"proceedings-article","created":{"date-parts":[[2009,10,14]],"date-time":"2009-10-14T20:17:46Z","timestamp":1255551466000},"page":"2516-2523","source":"Crossref","is-referenced-by-count":50,"title":["Empirical comparison of MOPSO methods - Guide selection and diversity preservation -"],"prefix":"10.1109","author":[{"given":"Nikhil","family":"Padhye","sequence":"first","affiliation":[]},{"given":"Juergen","family":"Branke","sequence":"additional","affiliation":[]},{"given":"Sanaz","family":"Mostaghim","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"year":"2004","author":"mendes","journal-title":"Population Topologies and Their Influence in Particle Swarm Performance","key":"19"},{"key":"22","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-02830-8","author":"michalewicz","year":"1992","journal-title":"Genetic Algorithms + Data Structures = Evolution Program"},{"doi-asserted-by":"publisher","key":"17","DOI":"10.1109\/TEVC.2004.826067"},{"doi-asserted-by":"publisher","key":"18","DOI":"10.1109\/SIS.2007.368046"},{"doi-asserted-by":"publisher","key":"15","DOI":"10.1109\/ISDA.2005.15"},{"year":"1999","author":"zitzler","journal-title":"Evolutionary algorithms for multiobjective optimization Methods and applications","key":"16"},{"year":"2002","author":"deb","journal-title":"Multi-Objective Optimization Using Evolutionary Algorithms","key":"13"},{"doi-asserted-by":"publisher","key":"14","DOI":"10.1109\/CEC.2002.1007032"},{"key":"11","article-title":"mopso: a proposal for mulriple objective particle swarm optimization","author":"coello","year":"2002","journal-title":"Congress on Evolutionary Computation pages 825-830 IEEE"},{"key":"12","first-page":"1","article-title":"the maximin fitness function; multi-objective city and regional planning","volume":"4193","author":"balling","year":"2003","journal-title":"EMO"},{"year":"0","journal-title":"New Methods in Multi-Objective Particle Swarm Optimization","key":"21"},{"year":"2001","author":"deb","journal-title":"Multi-Objective Optimization Using Evolutionary Algorithms","key":"3"},{"key":"20","article-title":"multi-objective particle swarm optimization methods","author":"fieldsend","year":"2004","journal-title":"Technical Report No 418 Department of Computer Science"},{"key":"2","first-page":"287","article-title":"multi-objective particle swarm optimizers: a survey of the state-of-the art","volume":"2","author":"reyes-sierra","year":"2006","journal-title":"International Journal of Computational Intelligence Research"},{"doi-asserted-by":"publisher","key":"1","DOI":"10.1023\/A:1016568309421"},{"key":"10","first-page":"34","article-title":"a multi-objective algorithm based upon particle swarm optimisation, an efficient data structure and turbulence","author":"fieldsend","year":"2002","journal-title":"U K Workshop on Computational Intelligence"},{"key":"7","first-page":"117","article-title":"better spread and convergence: particle swarm multiobjective optimization using the maximin fitness","author":"li","year":"2004","journal-title":"GECCO"},{"key":"6","first-page":"523","article-title":"about selecting the personal best in multi-objective particle swarm optimization","volume":"4193","author":"branke","year":"2006","journal-title":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)"},{"key":"5","first-page":"459","article-title":"a mopso algorithm based exclusively on pareto dominance concepts","volume":"3410","author":"everson","year":"2005","journal-title":"EMO"},{"doi-asserted-by":"publisher","key":"4","DOI":"10.1109\/SIS.2003.1202243"},{"doi-asserted-by":"publisher","key":"9","DOI":"10.1145\/1068009.1068047"},{"doi-asserted-by":"publisher","key":"8","DOI":"10.1109\/CEC.2003.1299886"}],"event":{"name":"2009 IEEE Congress on Evolutionary Computation (CEC)","start":{"date-parts":[[2009,5,18]]},"location":"Trondheim, Norway","end":{"date-parts":[[2009,5,21]]}},"container-title":["2009 IEEE Congress on Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/4939002\/4982922\/04983257.pdf?arnumber=4983257","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,19]],"date-time":"2017-06-19T00:40:54Z","timestamp":1497832854000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/4983257\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,5]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/cec.2009.4983257","relation":{},"subject":[],"published":{"date-parts":[[2009,5]]}}}