{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T05:49:06Z","timestamp":1740808146644,"version":"3.38.0"},"reference-count":23,"publisher":"Informa UK Limited","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["International Journal of Computer Mathematics"],"published-print":{"date-parts":[[2011,2]]},"DOI":"10.1080\/00207160903521501","type":"journal-article","created":{"date-parts":[[2010,12,13]],"date-time":"2010-12-13T13:25:48Z","timestamp":1292246748000},"page":"517-532","source":"Crossref","is-referenced-by-count":3,"title":["An improved quantum-behaved particle swarm optimization for multi-peak optimization problems"],"prefix":"10.1080","volume":"88","author":[{"given":"Ji","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Jun","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Choi-Hong","family":"Lai","sequence":"additional","affiliation":[]},{"given":"Wenbo","family":"Xu","sequence":"additional","affiliation":[]}],"member":"301","reference":[{"key":"CIT0001","doi-asserted-by":"crossref","unstructured":"Angeline, P. J. Evolutionary optimization versus particle swarm optimization: Philosophy and performance differences. Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming. Vol. 1447, pp.601\u2013610. Heidelberg: Springer. Lecture Notes in Computer Science","DOI":"10.1007\/BFb0040811"},{"key":"CIT0002","unstructured":"Angeline, P. J. Using Selection to Improve Particle Swarm Optimization. Proceedings of the IEEE International Conference on Evolutionary Computation. pp.84\u201389. Anchorage, Alaska"},{"key":"CIT0003","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1993.1.2.101"},{"key":"CIT0004","doi-asserted-by":"crossref","unstructured":"Clerc, M. The swarm and queen: Towards a deterministic and adaptive particle swarm optimization. Proceedings of Congress on Evolutionary Computation. Piscataway, NJ. pp.1951\u20131957.","DOI":"10.1109\/CEC.1999.785513"},{"key":"CIT0005","doi-asserted-by":"publisher","DOI":"10.1109\/4235.985692"},{"key":"CIT0006","doi-asserted-by":"crossref","unstructured":"Kennedy, J. Small worlds and mega-minds: Effects of Neighborhood Topology on Particle Swarm Performance. Proceedings of Congress on Evolutionary Computation. Piscataway, NJ. pp.1931\u20131938.","DOI":"10.1109\/CEC.1999.785509"},{"key":"CIT0007","unstructured":"Kennedy, J. Bare Bones Particle Swarms. The 2003 IEEE Swarm Intelligence Symposium (SIS\u201903). Indianapolis, IN. pp.80\u201387."},{"key":"CIT0008","doi-asserted-by":"crossref","unstructured":"Kennedy, J. and Eberhart, R. C. Particle swarm optimization. Proceedings of the IEEE International Conference on Neural Networks. Piscataway, NJ. Vol. 4, pp.1942\u20131948.","DOI":"10.1109\/ICNN.1995.488968"},{"key":"CIT0009","doi-asserted-by":"crossref","unstructured":"Kennedy, J. and Mendes, R. Population Structure and Particle Swarm Performance. Proceedings of the 2002 Congress on Evolutionary Computation. pp.1671\u20131675. Piscataway, NJ: IEEE Service Center.","DOI":"10.1109\/CEC.2002.1004493"},{"key":"CIT0010","doi-asserted-by":"crossref","unstructured":"Krohling, R. A. Gaussian Swarm: A Novel Particle Swarm Optimization Algorithm. Proceedings of the 2004 IEEE Conference on Cybernetics and Intelligent Systems (CIS). pp.372\u2013376. Singapore","DOI":"10.1109\/ICCIS.2004.1460443"},{"key":"CIT0011","doi-asserted-by":"crossref","unstructured":"Li, X. D. Adaptively Choosing Neighbourhood Bests Using Species in a Particle Swarm Optimizer for Multimodal Function Optimization. Proceedings of Genetic and evolutionary computation conference (GECCO). Vol. 3102, pp.105\u2013116. Seattle, WA Lecture Notes in Computer Science","DOI":"10.1007\/978-3-540-24854-5_10"},{"key":"CIT0012","doi-asserted-by":"publisher","DOI":"10.1162\/106365602760234081"},{"key":"CIT0013","unstructured":"Liang, J. J. and Suganthan, P. N. Dynamic Multiswarm Particle Swarm Optimizer (DMS-PSO). Proceedings of the IEEE Swarm Intelligence Symposium. Pasadena, CA. pp.124\u2013129."},{"key":"CIT0014","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2004.826074"},{"key":"CIT0015","unstructured":"Shi, Y. and Eberhart, R. C. A Modified Particle Swarm Optimizer. Proceedings of the IEEE Congress on Evolutionary Computation (CEC 1998). Piscataway, NJ. pp.69\u201373."},{"key":"CIT0016","doi-asserted-by":"crossref","unstructured":"Shi, Y. and Eberhart, R. C. Parameter Selection in Particle Swarm Optimization. Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming. pp.591\u2013600. New York","DOI":"10.1007\/BFb0040810"},{"key":"CIT0017","unstructured":"Shi, Y. and Eberhart, R. C. Empirical Study of Particle Swarm Optimization. Proceedings of Congress on Evolutionary Computation. Piscataway, NJ. pp.1945\u20131950."},{"key":"CIT0018","unstructured":"Suganthan, P. N. Particle Swarm Optimizer with Neighborhood Operator. Proceedings of Congress on Evolutionary Computation. Piscataway, NJ. pp.1958\u20131962."},{"key":"CIT0019","unstructured":"Sun, J., Feng, B. and Xu, W. B. Particle swarm optimization with particles having quantum behavior. Proceedings of the 2004 Congress on Evolutionary Computation: CEC 2004. Portland, OR. pp.326\u2013331."},{"key":"CIT0020","unstructured":"Sun, J., Xu, W. B. and Feng, B. A Global Search Strategy of Quantum-behaved Particle Swarm Optimization. IEEE Conference on Cybernetics and Intelligent Systems (CIS). Singapore. pp.111\u2013116."},{"key":"CIT0021","doi-asserted-by":"crossref","unstructured":"Sun, J., Xu, W. B. and Feng, B. Adaptive Parameter Control for Quantum-Behaved Particle Swarm Optimization on Individual Level. Proceedings of the 2005 IEEE International Conference on Systems, Man and Cybernetics. Vol. 4, pp.3049\u20133054. Waikoloa, Hawaii","DOI":"10.1109\/ICSMC.2005.1571614"},{"key":"CIT0022","doi-asserted-by":"publisher","DOI":"10.1080\/00207160601170254"},{"key":"CIT0023","unstructured":"Van den Bergh, F. 2001. \u201cAn analysis of particle swarm optimizers\u201d. University of Pretoria. PhD thesis"}],"container-title":["International Journal of Computer Mathematics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/00207160903521501","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T18:46:38Z","timestamp":1740768398000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/00207160903521501"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,2]]},"references-count":23,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2011,2]]}},"alternative-id":["10.1080\/00207160903521501"],"URL":"https:\/\/doi.org\/10.1080\/00207160903521501","relation":{},"ISSN":["0020-7160","1029-0265"],"issn-type":[{"type":"print","value":"0020-7160"},{"type":"electronic","value":"1029-0265"}],"subject":[],"published":{"date-parts":[[2011,2]]}}}