{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:37:06Z","timestamp":1761597426414,"version":"3.40.4"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["International Journal of Computational Intelligence Systems"],"published-print":{"date-parts":[[2010,10]]},"DOI":"10.1080\/18756891.2010.9727725","type":"journal-article","created":{"date-parts":[[2013,5,2]],"date-time":"2013-05-02T20:10:13Z","timestamp":1367525413000},"page":"590-600","source":"Crossref","is-referenced-by-count":14,"title":["A scalable coevolutionary multi-objective particle swarm optimizer"],"prefix":"10.1007","volume":"3","author":[{"given":"Xiangwei","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Hong","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"1","key":"CIT0001","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/MCI.2006.1597059","volume":"1","author":"Coello C. A. C.","year":"2006","journal-title":"IEEE Computational Intelligence Magazine"},{"issue":"2","key":"CIT0002","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1080\/18756891.2010.9727689","volume":"3","author":"Ruspini Enrique H.","year":"2010","journal-title":"International Journal of Computational Intelligence Systems"},{"issue":"3","key":"CIT0003","first-page":"287","volume":"2","author":"Sierra M. R.","year":"2006","journal-title":"Int'l Journal of Computational Intelligence Research"},{"issue":"1","key":"CIT0004","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1080\/18756891.2010.9727678","volume":"3","author":"Hu L.","year":"2010","journal-title":"International Journal of Computational Intelligence Systems"},{"key":"CIT0005","doi-asserted-by":"crossref","unstructured":"Kennedy, J. and Eberhart, R. C. Particle swarm optimization. proc. of the IEEE Conf. on Neural Networks. pp.1942\u20131948.","DOI":"10.1109\/ICNN.1995.488968"},{"volume-title":"Department of Computer Science and Software Engineering","year":"1999","author":"Moore J.","key":"CIT0006"},{"issue":"5","key":"CIT0007","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1109\/TEVC.2005.860762","volume":"10","author":"Tan K. C.","year":"2006","journal-title":"IEEE Trans. on Evolutionary Computation"},{"key":"CIT0008","doi-asserted-by":"crossref","unstructured":"Mostaghim, S. and Teich, J. The role of e-dominance in multi objective particle swarm optimization methods. proc. of 2003 Congress on Evolutionary Computation. pp.1764\u20131771.","DOI":"10.1109\/CEC.2003.1299886"},{"key":"CIT0009","unstructured":"Mostaghim, S. and Teich, J. Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO). proc. of IEEE Swarm Intelligence Symposium. pp.26\u201333."},{"key":"CIT0010","unstructured":"Fieldsend, J. and Singh, S. A multiobjective algorithm based upon particle swarm optimization, an efficient data structure and turbulence. proc. of the 2002 U.K. Workshop on Computational Intelligence. pp.37\u201344."},{"key":"CIT0011","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2004.826067"},{"key":"CIT0012","doi-asserted-by":"crossref","unstructured":"Li, X. A non-dominated sorting particle swarm optimizer for multi-objective optimization. proc. of the Genetic and Evolutionary Computation Conference. pp.37\u201348.","DOI":"10.1007\/3-540-45105-6_4"},{"key":"CIT0013","doi-asserted-by":"crossref","unstructured":"Sierra, M. R. and Coello, C. A. C. Improving PSO-based multi-objective optimization using crowding, mutation and e-dominance. proc. of Third International Conference on Evolutionary Multi-Criterion Optimization, Lecture Notes in Computer Science. Vol. 3410, pp.505\u2013519.","DOI":"10.1007\/978-3-540-31880-4_35"},{"key":"CIT0014","doi-asserted-by":"crossref","unstructured":"Potter, M. A. and De Jong, K. A. A cooperative coevolutionary approach to function optimization. proc. of the 3rd Parallel Problem Solving from Nature. pp.249\u2013257.","DOI":"10.1007\/3-540-58484-6_269"},{"key":"CIT0015","doi-asserted-by":"crossref","unstructured":"Iorio, A. W. and Li, X. A Cooperative Coevolutionary Multiobjective Algorithm Using non-dominated Sorting. proc. of the Genetic and Evolutionary Computation Conference, Lecture Notes in Computer Science. Vol. 3102, pp.537\u2013548.","DOI":"10.1007\/978-3-540-24854-5_56"},{"key":"CIT0016","first-page":"603","volume":"3789","author":"Sierrra M. R.","year":"2005","journal-title":"Advances in Artificial Intelligence, Lecture Notes in Artificial Intelligence"},{"key":"CIT0017","doi-asserted-by":"crossref","unstructured":"Tan, T. G., Lau, H. K. and Teo, J. Cooperative coevolution for pareto multiobjective optimization: An empirical study using SPEA2. proc. of 2007 IEEE Region 10 International Conference on TENCON. pp.1\u20134.","DOI":"10.1109\/TENCON.2007.4429134"},{"issue":"3","key":"CIT0018","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/TEVC.2004.826069","volume":"8","author":"van den Bergh F.","year":"2004","journal-title":"IEEE Transaction on Evolutionary Computation"},{"key":"CIT0019","doi-asserted-by":"crossref","unstructured":"Iwamatsu, M. Locating all global minima using multi-species particle swarm optimizer: The inertia weight and the constriction factor variants. proc. of the 2006 IEEE Congress on Evolutionary Computation. pp.816\u2013822.","DOI":"10.1109\/CEC.2006.1688395"},{"issue":"4","key":"CIT0020","doi-asserted-by":"crossref","first-page":"1095","DOI":"10.1109\/TMAG.2006.871568","volume":"42","author":"Seo J. H.","year":"2006","journal-title":"IEEE Trans. on Magnetics"},{"key":"CIT0021","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.ecoinf.2005.07.001","volume":"1","author":"Yao X.","year":"2006","journal-title":"Ecological informatics"},{"key":"CIT0022","unstructured":"Yang, Z., Tang, K. and Yao, X. Differential Evolution for high-dimensional function optimization. Proc. IEEE Congress on Evolutionary Computation. pp.3523\u20133530."},{"key":"CIT0023","unstructured":"Wiegand, P., Liles, W. and De Jong, K. An empirical analysis of collaboration methods in cooperative coevolutionary algorithms. proc. of Genetic and Evolutionary Computation Conference. pp.1235\u20131242."},{"key":"CIT0024","doi-asserted-by":"publisher","DOI":"10.1109\/4235.985692"},{"issue":"3","key":"CIT0025","doi-asserted-by":"crossref","first-page":"2030","DOI":"10.1016\/j.camwa.2008.09.023","volume":"57","author":"Zheng X.","year":"2009","journal-title":"Computers and Mathematics with Applications"},{"key":"CIT0026","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"CIT0027","doi-asserted-by":"crossref","unstructured":"Andrews, P. S. An investigation into mutation operators for particle swarm optimization. proc. of the 2006 Congress on Evolutionary Computation. pp.1044\u20131051.","DOI":"10.1109\/CEC.2006.1688424"},{"key":"CIT0028","doi-asserted-by":"publisher","DOI":"10.1162\/106365602760234108"},{"key":"CIT0029","doi-asserted-by":"publisher","DOI":"10.1162\/106365600568202"}],"container-title":["International Journal of Computational Intelligence Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/18756891.2010.9727725","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T08:04:25Z","timestamp":1746000265000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/18756891.2010.9727725"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,10]]},"references-count":29,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2010,10]]}},"alternative-id":["10.1080\/18756891.2010.9727725"],"URL":"https:\/\/doi.org\/10.1080\/18756891.2010.9727725","relation":{},"ISSN":["1875-6891","1875-6883"],"issn-type":[{"type":"print","value":"1875-6891"},{"type":"electronic","value":"1875-6883"}],"subject":[],"published":{"date-parts":[[2010,10]]}}}