{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T04:03:31Z","timestamp":1748837011114,"version":"3.41.0"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811003554"},{"type":"electronic","value":"9789811003561"}],"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\/978-981-10-0356-1_12","type":"book-chapter","created":{"date-parts":[[2016,1,18]],"date-time":"2016-01-18T14:24:58Z","timestamp":1453127098000},"page":"116-128","source":"Crossref","is-referenced-by-count":1,"title":["Adaptive Mutation Opposition-Based Particle Swarm Optimization"],"prefix":"10.1007","author":[{"given":"Lanlan","family":"Kang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenyong","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kangshun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,1,19]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks, vol. 4, Perth, Australia, pp. 1942\u20131948 (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Eberhart, R.C., Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of 6th International Symposium on Micro-machine Human Science, Nagoya, Japan, pp. 39\u201343 (1995)","DOI":"10.1109\/MHS.1995.494215"},{"key":"12_CR3","unstructured":"Dehuri, S., Nanda, B.K., Cho, S.-B.: A hybrid APSO-aided learnable Bayesian classifier. In: IICAI, pp. 695\u2013706 (2009)"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Dehuri, S., Roy, R., Cho, S.-B.: An adaptive binary PSO to learn Bayesian classifier for prognostic modeling of metabolic syndrome. In: Genetic and Evolutionary Computation Conference (GECCO), pp. 495\u2013501, 12\u201316 July 2011","DOI":"10.1145\/2001858.2002039"},{"key":"12_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1007\/978-3-642-34859-4_23","volume-title":"Simulated Evolution and Learning","author":"A Ismail","year":"2012","unstructured":"Ismail, A., Engelbrecht, A.P.: Self-adaptive particle swarm optimization. In: Bui, L.T., Ong, Y.S., Hoai, N.X., Ishibuchi, H., Suganthan, P.N. (eds.) SEAL 2012. LNCS, vol. 7673, pp. 228\u2013237. Springer, Heidelberg (2012)"},{"key":"12_CR6","first-page":"1369","volume":"39","author":"ZH Zhan","year":"2009","unstructured":"Zhan, Z.H., Zhang, J., Li, Y., Chung, H.S.H.: Adaptive particle swarm optimization. IEEE Trans. Syst. Man Cybern. Part B 39, 1369\u20131381 (2009)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Shi, Y., Eberhart, R.C.: Parameter selection in particle swarm optimization. In: Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming, New York, pp. 591\u2013600 (1998)","DOI":"10.1007\/BFb0040810"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Zhang, W., Liu, Y., Clerc, M.: An adaptive PSO algorithm for reactive power optimization In: Proceedings of 6th International Conference Advances in Power System Control, Operation and Management, pp. 302\u2013307, November 2003","DOI":"10.1049\/cp:20030603"},{"key":"12_CR9","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1109\/TEVC.2012.2232931","volume":"17","author":"H Mengqi","year":"2013","unstructured":"Mengqi, H., Teresa, W., Weir, J.D.: An adaptive particle swarm optimization with multiple adaptive methods. IEEE Trans. Evol. Comput. 17, 705\u2013720 (2013)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"12_CR10","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1109\/TEVC.2014.2308294","volume":"19","author":"G Karafotias","year":"2015","unstructured":"Karafotias, G., Hoogendoorn, M., Eiben, A.E.: Parameter control in evolutionary algorithms: trends and challenges. IEEE Trans. Evol. Comput. 19(2), 167\u2013187 (2015)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Wang H., Li, H., Liu, Y., et al.: Opposition-based particle swarm algorithm with Cauchy mutation. In: Proceedings of IEEE Congress on Evolutionary Computation, Tokyo, pp. 356\u2013360 (2007)","DOI":"10.1109\/SIS.2007.367959"},{"key":"12_CR12","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.amc.2013.06.074","volume":"221","author":"H Wang","year":"2013","unstructured":"Wang, H., Wang, W.J., Wu, Z.J.: Particle swarm optimization with adaptive mutation for multimodal optimization. Appl. Math. Comput. 221, 296\u2013305 (2013)","journal-title":"Appl. Math. Comput."},{"issue":"3","key":"12_CR13","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1109\/TEVC.2012.2196047","volume":"17","author":"YV Pehlivanoglu","year":"2013","unstructured":"Pehlivanoglu, Y.V.: A new particle swarm optimization method enhanced with a periodic mutation strategy and neural networks. IEEE Trans. Evol. Comput. 17(3), 436\u2013452 (2013)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"12_CR14","doi-asserted-by":"publisher","first-page":"4699","DOI":"10.1016\/j.ins.2011.03.016","volume":"181","author":"H Wang Hui","year":"2011","unstructured":"Wang Hui, H., Zhijian, W., Rahnamayan, S., et al.: Enhancing particle swarm optimization using generalized opposition-based learning. Inf. Sci. 181, 4699\u20134714 (2011)","journal-title":"Inf. Sci."},{"key":"12_CR15","unstructured":"Shi, Y., Eberhart, R.C.: A modified particle swarm optimizer. In: Proceedings of IEEE World Congress Computational Intelligence, pp. 69\u201373 (1998)"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Tizhoosh, H.R.: Opposition-based learning: a new scheme for machine intelligence. In: Proceedings of IEEE International Conference of Intelligent for Modeling, Control and Automation. PiscatAWay: Institute of Electrical and Electronics Engineers Computer Society, pp. 695\u2013701 (2005)","DOI":"10.1109\/CIMCA.2005.1631345"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Wang, H., Wu, Z., Liu, Y., Wang, J., Jiang, D., Chen, L.: Space transformation search: a new evolutionary technique. In: Proceedings of World Summit Genetic Evolution Computer, pp. 537\u2013544 (2009)","DOI":"10.1145\/1543834.1543907"},{"key":"12_CR18","doi-asserted-by":"crossref","unstructured":"Ozcan, E., Mohan, C.K.: Particle swarm optimization: surfing and waves. In: Proceedings of Congress on Evolutionary Computation (CEC 1999), Washington DC, pp. 1939\u20131944 (1999)","DOI":"10.1109\/CEC.1999.785510"},{"key":"12_CR19","unstructured":"van den Bergh, F., Engelbrecht, A.P.: Effect of swarm size on cooperative particle swarm optimizers. In: Genetic and Evolutionary Computation Conference, San Francisco, USA, pp. 892\u2013899 (2001)"},{"key":"12_CR20","volume-title":"Proficient optimization calculation in MATLAB","author":"C Gong","year":"2012","unstructured":"Gong, C., Wang, Z.: Proficient optimization calculation in MATLAB. Electronic Industry Press, Beijing (2012)"},{"issue":"8","key":"12_CR21","first-page":"1647","volume":"41","author":"XY Zhou","year":"2013","unstructured":"Zhou, X.Y., Wu, Z.J., Wang, H., et al.: Elite opposition based particle swarm optimization. Acta Electron. Sin. 41(8), 1647\u20131652 (2013)","journal-title":"Acta Electron. Sin."}],"container-title":["Communications in Computer and Information Science","Computational Intelligence and Intelligent Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-0356-1_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T04:47:19Z","timestamp":1748753239000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-0356-1_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9789811003554","9789811003561"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-0356-1_12","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2016]]}}}