{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T04:13:58Z","timestamp":1748751238098,"version":"3.41.0"},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662490136"},{"type":"electronic","value":"9783662490143"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"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":[[2015]]},"DOI":"10.1007\/978-3-662-49014-3_37","type":"book-chapter","created":{"date-parts":[[2015,12,23]],"date-time":"2015-12-23T14:41:36Z","timestamp":1450881696000},"page":"411-421","source":"Crossref","is-referenced-by-count":0,"title":["Clustering Quantum-Behaved Particle Swarm Optimization Algorithm for Solving Dynamic Optimization Problems"],"prefix":"10.1007","author":[{"given":"Mengmei","family":"Wang","sequence":"first","affiliation":[]},{"given":"Wei","family":"Fang","sequence":"additional","affiliation":[]},{"given":"Chaofeng","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,12,24]]},"reference":[{"key":"37_CR1","doi-asserted-by":"crossref","unstructured":"Fu, H.B., Lewis, P.R., Sendhoff, B., Tang, K., Yao, X.: What are dynamic optimization problems. In: Proceedings of 2014 IEEE Congress on Evolutionary Computation, China, pp. 1550\u20131557 (2014)","DOI":"10.1109\/CEC.2014.6900316"},{"key":"37_CR2","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks, vol. 4, pp. 1942\u20131948 (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"key":"37_CR3","doi-asserted-by":"crossref","unstructured":"Kennedy, J.: Stereotyping: improving particle swarm performance with cluster analysis. In: Proceedings of IEEE Congress on Evolutionary Compution, Piscataway, pp. 1507\u20131512 (2000)","DOI":"10.1109\/CEC.2000.870832"},{"key":"37_CR4","doi-asserted-by":"crossref","unstructured":"Breanke, J., Kaussier, T., Smidt, C., Schmeck, H.: A Multi-population approach to dynamic optimization problems. In: Proceedings of the 4th International Conference on Adaptive Computation, pp. 299\u2013308. Springer (2000)","DOI":"10.1007\/978-1-4471-0519-0_24"},{"key":"37_CR5","doi-asserted-by":"crossref","unstructured":"Brits, R., Engelbrecht, A.P.: Solving systems of unconstrained equations using particle swarm optimization. In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, vol. 3, pp. 102\u2013107 (2002)","DOI":"10.1109\/ICSMC.2002.1176019"},{"issue":"12","key":"37_CR6","first-page":"2895","volume":"22","author":"HF Wang","year":"2010","unstructured":"Wang, H.F., Wang, D.W., Huang, M.: Forking PSO algorithm for dynamic optimization problems. J. Syst. Simul. 22(12), 2895\u20132899 (2010). (in Chinese)","journal-title":"J. Syst. Simul."},{"key":"37_CR7","unstructured":"Sun, J.: Particle Swarm Optimization with Particles having Quantum Behavior. Jiangnan University, Doctor Thesis (2009) (in Chinese)"},{"issue":"6","key":"37_CR8","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1109\/TEVC.2010.2046667","volume":"14","author":"SX Yang","year":"2010","unstructured":"Yang, S.X., Li, C.: A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments. IEEE Trans. Evol. Comput. 14(6), 959\u2013973 (2010)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"37_CR9","doi-asserted-by":"crossref","unstructured":"Pat, A., Hota, A.R.: An improved quantum-behaved particle swarm optimization using fitness-weighted preferential recombination. In: Proceedings of 2010 Second World Congress on Nature and Biologically Inspired Computing, Kitakyushu, Fukuoka, Japan (2010)","DOI":"10.1109\/NABIC.2010.5716316"},{"issue":"6","key":"37_CR10","doi-asserted-by":"crossref","first-page":"3686","DOI":"10.7498\/aps.59.3686","volume":"59","author":"W Fang","year":"2010","unstructured":"Fang, W., Sun, J., Xie, Z.P.: Convergence analysis of quantum-behaved particle swarm optimization algorithm and study on its control parameter. Acta Phys. Sin. 59(6), 3686\u20133694 (2010). (in Chinese)","journal-title":"Acta Phys. Sin."},{"issue":"6","key":"37_CR11","doi-asserted-by":"publisher","first-page":"1715","DOI":"10.1007\/s00500-014-1359-9","volume":"19","author":"W Fang","year":"2014","unstructured":"Fang, W., Sun, J., Wu, X.: Adaptive web QoS controller based on online system identification using quantum-behaved particle swarm optimization. Soft Comput. 19(6), 1715\u20131725 (2014)","journal-title":"Soft Comput."},{"key":"37_CR12","doi-asserted-by":"crossref","unstructured":"Breake, J.: Memory enhanced evolutionary algorithms for changing optimization problems. In: Proceedings of Congress of Evolutionary Computation, vol. 3, pp. 1875\u20131882 (1999)","DOI":"10.1109\/CEC.1999.785502"}],"container-title":["Communications in Computer and Information Science","Bio-Inspired Computing -- Theories and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-49014-3_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T22:39:28Z","timestamp":1748731168000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-49014-3_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783662490136","9783662490143"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-49014-3_37","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2015]]}}}