{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T23:40:01Z","timestamp":1749771601880,"version":"3.41.0"},"publisher-location":"Cham","reference-count":47,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319489582"},{"type":"electronic","value":"9783319489599"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-48959-9_18","type":"book-chapter","created":{"date-parts":[[2016,11,30]],"date-time":"2016-11-30T14:17:29Z","timestamp":1480515449000},"page":"201-213","source":"Crossref","is-referenced-by-count":0,"title":["Particle Swarm Optimization Based on the Winner\u2019s Strategy"],"prefix":"10.1007","author":[{"given":"Shailendra S.","family":"Aote","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. M.","family":"Raghuwanshi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L. G.","family":"Malik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,12,1]]},"reference":[{"key":"18_CR1","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: IEEE International Conference on Neural Network, Perth, Australia 1995, pp. 1942\u20131948 (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"key":"18_CR2","doi-asserted-by":"crossref","unstructured":"Li, X., Deb, K.: Comparing lbest PSO niching algorithms using different position update rules. In: WCCI 2010 IEEE World Congress on Computational Intelligence 18\u201323 July, 2010 - CCIB, Barcelona, Spain, pp. 1564\u20131571 (2010)","DOI":"10.1109\/CEC.2010.5586317"},{"issue":"3","key":"18_CR3","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1109\/TEVC.2012.2203138","volume":"17","author":"BY Qu","year":"2013","unstructured":"Qu, B.Y., Suganthan, P.N., Das, Swagatam: A distance-based locally informed particle swarm model for multi-modal optimization. IEEE Trans. Evol. Comput. 17(3), 387\u2013402 (2013)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"18_CR4","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.ins.2012.02.016","volume":"197","author":"H Wang","year":"2012","unstructured":"Wang, H., Moon, I., Yang, S., Wang, D.: A memetic particle swarm optimization algorithm for multimodal optimization problems. Inf. Sci. 197, 38\u201352 (2012)","journal-title":"Inf. Sci."},{"issue":"6","key":"18_CR5","doi-asserted-by":"crossref","first-page":"1362","DOI":"10.1109\/TSMCB.2009.2015956","volume":"39","author":"ZH Zhan","year":"2009","unstructured":"Zhan, Z.H., Zhang, J., Li, Y.: Adaptive particle swarm optimization. IEEE Trans. Syst. Man Cybern. Part B Cybern. 39(6), 1362\u20131381 (2009)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"issue":"2","key":"18_CR6","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1109\/TSMCB.2009.2015054","volume":"40","author":"S Kiranyaz","year":"2010","unstructured":"Kiranyaz, S., Ince, T., Yildirim, A., Gabbouj, M.: Fractional particle swarm optimization in multidimensional search space. IEEE Trans. Syst. Man Cybern. Part B Cybern. 40(2), 298\u2013319 (2010)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"key":"18_CR7","doi-asserted-by":"crossref","first-page":"4683","DOI":"10.1007\/s13369-014-1156-x","volume":"39","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili, S., Lewis, A., Sadiq, A.S.: Autonomous particles groups for particle swarm optimization. Arab. J Sci. Eng. 39, 4683\u20134697 (2014)","journal-title":"Arab. J Sci. Eng."},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Shi, Y., Eberhart, R.: A modified particle swarm optimizer. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC 1998), Piscataway, pp. 69\u201373 (1998)","DOI":"10.1109\/ICEC.1998.699146"},{"key":"18_CR9","unstructured":"van den Bergh, F.: An analysis of particle swarm optimizers, Ph.D. dissertation, Department of Computer Science, University of Pretoria, Pretoria, South Africa (2002)"},{"key":"18_CR10","doi-asserted-by":"crossref","unstructured":"Wang, H., et al.: Opposition-based particle swarm algorithm with cauchy mutation. In: Proceedings of the IEEE Congress on Evolutionary Computation, pp. 4750\u20134756 (2007)","DOI":"10.1109\/CEC.2007.4425095"},{"key":"18_CR11","unstructured":"Yang, S., Wang, M.: A quantum particle swarm optimization. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2004), pp. 320\u2013324 (2004)"},{"issue":"6","key":"18_CR12","doi-asserted-by":"crossref","first-page":"1272","DOI":"10.1109\/TSMCB.2005.850530","volume":"35","author":"S Janson","year":"2005","unstructured":"Janson, S., Middendorf, M.: A hierarchical particle swarm optimizer and its adaptive variant. IEEE Trans. Syst. Man Cybern. Part B Cybern. 35(6), 1272\u20131282 (2005)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Evers, G.I., Ghalia, M.B.: Regrouping particle swarm optimization: a new global optimization algorithm with improved performance consistency across benchmarks. In: IEEE International Conference on Systems, Man and Cybernetics, pp. 3901\u20133908 (2009)","DOI":"10.1109\/ICSMC.2009.5346625"},{"issue":"3","key":"18_CR14","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/TEVC.2004.826069","volume":"8","author":"F Bergh van den","year":"2004","unstructured":"van den Bergh, F., Engelbrecht, A.: A cooperative approach to particle swarm optimization. IEEE Trans. Evol. Comput. 8(3), 225\u2013239 (2004)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"15","key":"18_CR15","doi-asserted-by":"crossref","first-page":"2986","DOI":"10.1016\/j.ins.2008.02.017","volume":"178","author":"Z Yang","year":"2008","unstructured":"Yang, Z., Tang, K., Yao, X.: Large scale evolutionary optimization using cooperative coevolution. Inf. Sci. 178(15), 2986\u20132999 (2008)","journal-title":"Inf. Sci."},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Cui, Z.; Zeng, J.; Yin, Y.: An improved PSO with time-varying accelerator coefficients. In: Eighth International Conference on Intelligent Systems Design and Applications, Kaohsiung, pp. 638\u2013643 (2008)","DOI":"10.1109\/ISDA.2008.86"},{"key":"18_CR17","doi-asserted-by":"crossref","unstructured":"Ziyu, T., Dingxue, Z.: A modified particle swarm optimization with an adaptive acceleration coefficients. In: Asia-Pacific Conference on Information Processing, Shenzhen, pp. 330\u2013332 (2009)","DOI":"10.1109\/APCIP.2009.217"},{"key":"18_CR18","doi-asserted-by":"crossref","unstructured":"Bao, G.Q., Mao, K.F.: Particle swarm optimization algorithm with asymmetric time varying acceleration coefficients. In: IEEE International Conference on Robotics and Biomimetics, Guilin, pp. 2134\u20132139 (2009)","DOI":"10.1109\/ROBIO.2009.5420504"},{"key":"18_CR19","doi-asserted-by":"crossref","unstructured":"Dai, Y., Liu, L., Li, Y.: An intelligent parameter selection method for particle swarm optimization algorithm. In: Fourth International Joint Conference on Computational Sciences and Optimization, pp. 960\u2013964 (2011)","DOI":"10.1109\/CSO.2011.79"},{"issue":"1","key":"18_CR20","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/4235.985692","volume":"6","author":"M Clerc","year":"2002","unstructured":"Clerc, M., Kennedy, J.: The particle swarm: explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evol. Comput. 6(1), 58\u201373 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"18_CR21","doi-asserted-by":"crossref","unstructured":"Ray, T., Yao, X.: A cooperative coevolutionary algorithm with correlation based adaptive variable partitioning. In: Proceedings of IEEE CEC, May 2009, pp. 983\u2013999 (2009)","DOI":"10.1109\/CEC.2009.4983052"},{"key":"18_CR22","doi-asserted-by":"crossref","unstructured":"Zhao, S.Z., Liang, J.J., Suganthan, P.N., Tasgetiren, M.F.: Dynamic multi-swarm particle swarm optimizer with local search for large scale global optimization. In: Proceedings of IEEE CEC, June 2008, pp. 3845\u20133852 (2008)","DOI":"10.1109\/CEC.2008.4631320"},{"key":"18_CR23","doi-asserted-by":"crossref","unstructured":"Shen, X., Chi, Z., Yang, J., Chen, C.: Particle swarm optimization with dynamic adaptive inertia weight. In: International Conference on Challenges in Environmental Science and Engineering, pp 287\u2013289 (2010)","DOI":"10.1109\/CESCE.2010.16"},{"key":"18_CR24","unstructured":"Helwig, S., Branke, J., Mostaghim, S.: Experimental analysis of bound handling techniques in particle swarm optimization. In: IEEE (2011)"},{"key":"18_CR25","doi-asserted-by":"crossref","unstructured":"Omidvar, M.N., Li, X., Yao, X.: Cooperative co-evolution with delta grouping for large scale non-separable function optimization. In: WCCI 2010 IEEE World Congress on Computational Intelligence, 18\u201323 July, 2010 - CCIB, Barcelona, Spain, pp. 1762\u20131769 (2010)","DOI":"10.1109\/CEC.2010.5585979"},{"key":"18_CR26","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.ins.2012.05.017","volume":"216","author":"MG Epitropakis","year":"2012","unstructured":"Epitropakis, M.G., Plagianakos, V.P., Vrahatis, M.N.: Evolving cognitive and social experience in particle swarm optimization through differential evolution: a hybrid approach. Inf. Sci. 216, 50\u201392 (2012)","journal-title":"Inf. Sci."},{"issue":"3","key":"18_CR27","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1109\/TEVC.2004.826071","volume":"8","author":"A Ratnaweera","year":"2004","unstructured":"Ratnaweera, A., Halgamuge, S.K., Watson, H.C.: Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Trans. Evol. Comput. 8(3), 240\u2013255 (2004)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"18_CR28","doi-asserted-by":"crossref","unstructured":"Shi, Y., Eberhart, R.C.: Empirical study of particle swarm optimization. In: Proceedings of IEEE International Congress on Evolutionary Computation, vol. 3, pp. 101\u2013106 (1999)","DOI":"10.1109\/CEC.1999.785511"},{"issue":"4","key":"18_CR29","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/s10732-014-9245-2","volume":"20","author":"MR Bonyadi","year":"2014","unstructured":"Bonyadi, M.R., Michalewicz, Z., Li, X.: An analysis of the velocity updating rule of the particle swarm optimization algorithm. J. Heuristics 20(4), 417\u2013452 (2014)","journal-title":"J. Heuristics"},{"issue":"2","key":"18_CR30","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1109\/TEVC.2011.2112662","volume":"16","author":"X Li","year":"2012","unstructured":"Li, X., Yao, X.: Cooperatively coevolving particle swarms for large scale optimization. IEEE Trans. Evol. Comput. 16(2), 210\u2013224 (2012)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"3","key":"18_CR31","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/s11721-014-0095-1","volume":"8","author":"MR Bonyadi","year":"2014","unstructured":"Bonyadi, M.R., Michalewicz, Z.: A locally convergent\u00a0rotationally invariant particle swarm optimization algorithm. Swarm Intell. 8(3), 159\u2013198 (2014)","journal-title":"Swarm Intell."},{"key":"18_CR32","unstructured":"Tang, K., Y\u00e1o, X., Suganthan, P.N., MacNish, C., Chen, Y.P., Chen, C.M., Yang, Z.: Benchmark functions for the CEC 2008 special session and competition on large scale global optimization, Nature Inspired Computation and Applications Laboratory, University of Science and Technology, Hefei, China, Technical report (2007). http:\/\/nical.ustc.edu.cn\/cec08ss.php"},{"issue":"2","key":"18_CR33","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1109\/TCYB.2014.2322602","volume":"45","author":"Ran Cheng","year":"2015","unstructured":"Cheng, Ran, Jin, Yaochu: A competitive swarm optimizer for large scale optimization. IEEE Trans. Cybern. 45(2), 191\u2013204 (2015)","journal-title":"IEEE Trans. Cybern."},{"issue":"11","key":"18_CR34","doi-asserted-by":"publisher","first-page":"2175","DOI":"10.1007\/s00500-010-0645-4","volume":"15","author":"SZ Zhao","year":"2011","unstructured":"Zhao, S.Z., Suganthan, P.N., Das, S.: Self-adaptive differential evolution with multi-trajectory search for large scale optimization. Soft. Comput. 15(11), 2175\u20132185 (2011). doi: 10.1007\/s00500-010-0645-4","journal-title":"Soft. Comput."},{"key":"18_CR35","doi-asserted-by":"crossref","unstructured":"Zhao, S.Z., Liang, J.J., Suganthan, P.N., Tasgetiren, M.F.: Dynamic multi-swarm particle swarm optimizer with local search for large scale global optimization. In: IEEE Congress on Evolutionary Computation, pp. 3845\u20133852, Hong Kong, June 2008","DOI":"10.1109\/CEC.2008.4631320"},{"key":"18_CR36","doi-asserted-by":"crossref","unstructured":"Hao, Z., Guo, G., Huang, H.: A particle swarm optimization algorithm with differential evolution. In: 2007 International Conference on Machine Learning and Cybernetics, vol. 2, pp. 1031\u20131035 (2007)","DOI":"10.1109\/ICMLC.2007.4370294"},{"key":"18_CR37","doi-asserted-by":"crossref","unstructured":"Omran, M.G., Engelbrecht, A.P., Salman, A.: Differential evolution based particle swarm optimization. In: 2007 IEEE Swarm Intelligence Symposium, SIS 2007, pp. 112\u2013119 (2007)","DOI":"10.1109\/SIS.2007.368034"},{"key":"18_CR38","doi-asserted-by":"crossref","unstructured":"Kennedy, J.: Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance. In: IEEE, pp. 1931\u20131938 (2009)","DOI":"10.1109\/CEC.1999.785509"},{"key":"18_CR39","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Mendes, R.: Population structure and particle swarm performance. In: Proceedings of the Congress on Evolutionary Computation, pp. 1671\u20131676 (2002)","DOI":"10.1109\/CEC.2002.1004493"},{"key":"18_CR40","unstructured":"Mendes, R.: Population topologies and their influence in particle swarm performance, Ph.D. dissertation, Escola de Engenharia, Universidade do Minho, Portugal (2004)"},{"key":"18_CR41","doi-asserted-by":"crossref","unstructured":"Emara, H.M.: Adaptive clubs-based particle swarm optimization. In: American Control Conference 2009, ACC 2009, pp. 5628\u20135634 (2009)","DOI":"10.1109\/ACC.2009.5160390"},{"key":"18_CR42","doi-asserted-by":"crossref","unstructured":"Elsayed, S.M., Sarker, R.A. and Essam, D.L.: Memetic multi-topology particle swarm optimizer for constrained optimization. In: Proceedings of the IEEE Congress on Evolutionary Computation, pp. 1\u20138 (2012)","DOI":"10.1109\/CEC.2012.6256110"},{"key":"18_CR43","doi-asserted-by":"crossref","unstructured":"Gong, Y.J., Zhang, J.: Small-world particle swarm optimization with topology adaptation. In: Proceedings of the Fifteenth Annual Conference on Genetic and Evolutionary Computation Conference, pp. 25\u201332 (2013)","DOI":"10.1145\/2463372.2463381"},{"key":"18_CR44","doi-asserted-by":"crossref","unstructured":"Liang, S., Song, S., Kong, L. Cheng, J.: An improved particle swarm optimization algorithm and its convergence analysis. In: Second International Conference on Computer Modeling and Simulation, pp. 138\u2013141 (2010)","DOI":"10.1109\/ICCMS.2010.316"},{"key":"18_CR45","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1007\/978-3-642-10701-6_11","volume-title":"Computational Intelligence in Expensive Optimization Problems","author":"S Bird","year":"2010","unstructured":"Bird, S., Li, X.: Improving local convergence in particle swarms by fitness approximation using regression. In: Tenne, Y., Goh, C.K. (eds.) Computational Intelligence in Expensive Optimization Problems, pp. 265\u2013293. Springer, Heidelberg (2010)"},{"issue":"2","key":"18_CR46","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1109\/TEVC.2011.2173577","volume":"17","author":"WN Chen","year":"2013","unstructured":"Chen, W.N., Zhang, J., Lin, Y., Chen, N., Zhan, Z.H., Chung, H.S.H., Li, Y., Shi, Y.H.: Particle swarm optimization with an aging leader and challengers. IEEE Trans. Evol. Comput. 17(2), 241\u2013258 (2013)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"3","key":"18_CR47","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1109\/TEVC.2012.2203138","volume":"17","author":"BY Qu","year":"2013","unstructured":"Qu, B.Y., Suganthan, P.N., Das, S.: A distance-based locally informed particle swarm model for multi-modal optimization. IEEE Trans. Evol. Comput. 17(3), 387\u2013402 (2013)","journal-title":"IEEE Trans. Evol. Comput."}],"container-title":["Lecture Notes in Computer Science","Swarm, Evolutionary, and Memetic Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-48959-9_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T23:15:03Z","timestamp":1749770103000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-48959-9_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319489582","9783319489599"],"references-count":47,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-48959-9_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}