{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T17:17:27Z","timestamp":1771003047538,"version":"3.50.1"},"reference-count":50,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2017,8,8]]},"DOI":"10.3233\/jcm-170742","type":"journal-article","created":{"date-parts":[[2017,6,2]],"date-time":"2017-06-02T15:36:14Z","timestamp":1496417774000},"page":"557-568","source":"Crossref","is-referenced-by-count":10,"title":["Particle swarm optimization algorithm based on parameter improvements"],"prefix":"10.1177","volume":"17","author":[{"given":"Qinghua","family":"Wu","sequence":"first","affiliation":[{"name":"Faculty of Computer Science and Engineering, Wuhan Institute of Technology, Hubei, Wuhan 430205, China"}]},{"given":"Tao","family":"Song","sequence":"additional","affiliation":[{"name":"Center of Network and Educational Technology, China University of Geosciences, Hubei, Wuhan 430074, China"}]},{"given":"Hanmin","family":"Liu","sequence":"additional","affiliation":[{"name":"Wuhan Institute of Ship Building Technology, Wuhan, Hubei 430050, China"}]},{"given":"Xuesong","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Computer Science, China University of Geosciences, Wuhan, Hubei 430074, China"}]}],"member":"179","reference":[{"key":"10.3233\/JCM-170742_ref1","doi-asserted-by":"crossref","unstructured":"J. Kennedy and R. Ceberhart, Particle swarm optimization, in: Proceedings of IEEE International Conference on Neural Networks (1995), 1942\u20131948.","DOI":"10.1109\/ICNN.1995.488968"},{"key":"10.3233\/JCM-170742_ref2","unstructured":"Y.H. Shi and R. Eberhart, A modified particle swarm optimizer, in: IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, (1988), 69\u201373."},{"key":"10.3233\/JCM-170742_ref3","unstructured":"Y.H. Shi and R. Eberhart, Empirical study of particle swarm optimization, in: International Conference on Evolutionary Computation, Washington, USA: IEEE, (1999), 1945\u20131950."},{"issue":"1","key":"10.3233\/JCM-170742_ref4","first-page":"53","article-title":"Study on the strategy of decreasing inertia weight in particle swarm optimization algorithm","volume":"40","author":"Chen","year":"2006","journal-title":"Journal of Xi\u2019an Jiaotong University"},{"issue":"1","key":"10.3233\/JCM-170742_ref5","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/4235.985692","article-title":"The particle swarm-explosion, stability, and convergence in a multidimensional complex space","volume":"6","author":"Clerc","year":"2002","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"3","key":"10.3233\/JCM-170742_ref6","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1109\/TEVC.2004.826071","article-title":"Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients","volume":"8","author":"Ratnaweera","year":"2004","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"10.3233\/JCM-170742_ref7","unstructured":"J. Kennedy, Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance, in: The 1999 Congress on Evolution Computation, Piscataway, NJ: IEEE Press, (1999), 1931\u20131938."},{"key":"10.3233\/JCM-170742_ref8","unstructured":"P.N. Suganthan, Particle swarm optimizer with neighborhood operator, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Piscataway, IEEE, (1999), 1958\u20131962."},{"issue":"1","key":"10.3233\/JCM-170742_ref9","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.mcm.2006.12.019","article-title":"Parameter selection and adaptation in unified particle swarm optimization","volume":"46","author":"Parsopoulos","year":"2007","journal-title":"Mathematical and Computer Modelling"},{"issue":"20","key":"10.3233\/JCM-170742_ref10","doi-asserted-by":"crossref","first-page":"4550","DOI":"10.1016\/j.ins.2011.02.026","article-title":"Scale-free fully informed particle swarm optimization algorithm","volume":"181","author":"Zhang","year":"2011","journal-title":"Information Sciences"},{"issue":"5","key":"10.3233\/JCM-170742_ref11","doi-asserted-by":"crossref","first-page":"1120","DOI":"10.1109\/TEVC.2009.2021465","article-title":"Frankenstein\u2019s PSO: A composite particle swarm optimization algorithm","volume":"13","author":"Marco de Oca","year":"2009","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"6","key":"10.3233\/JCM-170742_ref12","doi-asserted-by":"crossref","first-page":"1272","DOI":"10.1109\/TSMCB.2005.850530","article-title":"A hierarchical particle swarm optimizer and its adaptive variant","volume":"35","author":"Stefan","year":"2005","journal-title":"IEEE Transactions on System Man and Cybernetics, Part B: Cybernetics"},{"key":"10.3233\/JCM-170742_ref13","unstructured":"M. Clerc, Particle swarm optimization, John Wiley & Sons, 2010."},{"key":"10.3233\/JCM-170742_ref14","unstructured":"X. Wang and J. Li, Hybrid particle swarm optimization with simulated annealing, in: Proceedings of 2004 International Conference on Machine Learning and Cybernetics, IEEE, (2004), 2402\u20132405."},{"issue":"4","key":"10.3233\/JCM-170742_ref15","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1109\/TSMCB.2010.2103055","article-title":"A hybrid PSO-BFGS strategy for global optimization of multimodal functions","volume":"41","author":"Li","year":"2011","journal-title":"IEEE Transactions on Systems Man and Cybernetics, Part B: Cybernetics"},{"key":"10.3233\/JCM-170742_ref16","unstructured":"M. Settles and T. Soule, Breeding swarms: A GA\/PSO hybrid, in: Proceedings of the 7th Annual Conference on Genetic and Evolutionary Computation, ACM, (2005), 161\u2013168."},{"issue":"1","key":"10.3233\/JCM-170742_ref17","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.asoc.2009.07.001","article-title":"An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis","volume":"10","author":"Taher","year":"2010","journal-title":"Applied Soft Computing"},{"issue":"13","key":"10.3233\/JCM-170742_ref18","doi-asserted-by":"crossref","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","article-title":"GSA: Gravitational search algorithm","volume":"179","author":"Esmat","year":"2009","journal-title":"Information Science"},{"key":"10.3233\/JCM-170742_ref19","doi-asserted-by":"crossref","unstructured":"S.H. Jiang and Z.C. Ji, An improved HPSO-GSA with adaptive evolution stagnation cycle, in: Proceedings of the 33rd Chinese Control Conference, Nanjing, China, (28\u201330 July 2014), 8601\u20138606.","DOI":"10.1109\/ChiCC.2014.6896444"},{"issue":"6","key":"10.3233\/JCM-170742_ref20","doi-asserted-by":"crossref","first-page":"69","DOI":"10.9781\/ijimai.2014.268","article-title":"Business and social behaviour intelligence analysis using PSO","volume":"2","author":"Semwal","year":"2014","journal-title":"IJIMAI"},{"key":"10.3233\/JCM-170742_ref21","doi-asserted-by":"crossref","first-page":"1042","DOI":"10.1016\/j.asoc.2016.09.026","article-title":"MOVPSO: Vortex multi-objective particle swarm optimization","volume":"52","author":"Joaqu\u00edn","year":"2017","journal-title":"Applied Soft Computing"},{"issue":"9","key":"10.3233\/JCM-170742_ref22","doi-asserted-by":"crossref","first-page":"3521","DOI":"10.1007\/s00500-015-1972-2","article-title":"Statistical analysis of a multi-objective optimization algorithm based on a model of particles with vorticity behavior","volume":"20","author":"Joaqu\u00edn","year":"2016","journal-title":"Soft Computing"},{"key":"10.3233\/JCM-170742_ref23","first-page":"14","article-title":"An effective hybrid butterfly optimization algorithm with artificial bee colony for numerical optimization","volume":"26","author":"Sankalap","year":"2017","journal-title":"Changes"},{"issue":"1","key":"10.3233\/JCM-170742_ref24","doi-asserted-by":"crossref","first-page":"26","DOI":"10.9781\/ijimai.2016.415","article-title":"Multilayer perceptron: Architecture optimization and training","volume":"4","author":"Hassan","year":"2016","journal-title":"IJIMAI"},{"key":"10.3233\/JCM-170742_ref25","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.knosys.2014.03.015","article-title":"Binary PSO with mutation operator for feature selection using decision tree applied to spam detection","volume":"64","author":"Zhang","year":"2014","journal-title":"Knowledge-Based Systems"},{"issue":"5","key":"10.3233\/JCM-170742_ref26","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1016\/j.compbiomed.2013.01.020","article-title":"Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders","volume":"43","author":"Abdulhamit","year":"2013","journal-title":"Computers in Biology and Medicine"},{"issue":"8","key":"10.3233\/JCM-170742_ref27","doi-asserted-by":"crossref","first-page":"3196","DOI":"10.1016\/j.eswa.2012.12.033","article-title":"Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic","volume":"40","author":"Patricia","year":"2013","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/JCM-170742_ref28","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.renene.2014.01.011","article-title":"Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach","volume":"68","author":"Masoud","year":"2014","journal-title":"Renewable Energy"},{"issue":"1","key":"10.3233\/JCM-170742_ref29","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.cmpb.2013.10.007","article-title":"Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis","volume":"113","author":"Hannah","year":"2014","journal-title":"Computer Methods and Programs in Biomedicine"},{"key":"10.3233\/JCM-170742_ref30","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1016\/j.energy.2014.05.065","article-title":"Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm","volume":"72","author":"Bahrami","year":"2014","journal-title":"Energy"},{"issue":"2","key":"10.3233\/JCM-170742_ref31","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.1109\/TIE.2014.2336600","article-title":"A PSO-based global MPPT technique for distributed PV power generation","volume":"62","author":"Hugues","year":"2015","journal-title":"IEEE Transactions on Industrial Electronics"},{"key":"10.3233\/JCM-170742_ref32","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1016\/j.asoc.2014.10.026","article-title":"Enhanced leader PSO (ELPSO): A new PSO variant for solving global optimisation problems","volume":"26","author":"Jordehi","year":"2015","journal-title":"Applied Soft Computing"},{"key":"10.3233\/JCM-170742_ref33","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.asoc.2013.12.001","article-title":"Hybrid PSO-SVM method for short-term load forecasting during periods with significant temperature variations in city of Burbank","volume":"16","author":"Selakov","year":"2014","journal-title":"Applied Soft Computing"},{"issue":"8","key":"10.3233\/JCM-170742_ref34","doi-asserted-by":"crossref","first-page":"18","DOI":"10.5120\/19208-0915","article-title":"A novel adaptive compression technique for dealing with corrupt bands and high levels of band correlations in hyperspectral images based on binary hybrid GA-PSO for big data compression","volume":"109","author":"Nahavandi","year":"2015","journal-title":"International Journal of Computer Applications"},{"issue":"2","key":"10.3233\/JCM-170742_ref35","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1002\/ima.22132","article-title":"Feed-forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection","volume":"25","author":"Wang","year":"2015","journal-title":"International Journal of Imaging Systems and Technology"},{"issue":"2","key":"10.3233\/JCM-170742_ref36","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1504\/IJSI.2014.060242","article-title":"Evolutionary design of efficient type-2 fuzzy models from noisy data using hybrid PSO model","volume":"1","author":"Mamta","year":"2014","journal-title":"International Journal of Swarm Intelligence"},{"issue":"2","key":"10.3233\/JCM-170742_ref37","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.camwa.2013.01.016","article-title":"On the behavior and performance of chaos driven PSO algorithm with inertia weight","volume":"66","author":"Michal","year":"2013","journal-title":"Computers & Mathematics with Applications"},{"key":"10.3233\/JCM-170742_ref38","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.renene.2014.12.072","article-title":"A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm","volume":"78","author":"Vandana","year":"2015","journal-title":"Renewable Energy"},{"issue":"2","key":"10.3233\/JCM-170742_ref39","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1109\/TASE.2013.2272758","article-title":"Self-adaptive learning PSO-based deadline constrained task scheduling for hybrid IaaS cloud","volume":"11","author":"Zuo","year":"2014","journal-title":"IEEE Transactions on Automation Science and Engineering"},{"key":"10.3233\/JCM-170742_ref40","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.neucom.2013.01.027","article-title":"A PSO and pattern search based memetic algorithm for SVMs parameters optimization","volume":"117","author":"Bao","year":"2013","journal-title":"Neurocomputing"},{"issue":"3","key":"10.3233\/JCM-170742_ref41","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1007\/s10064-014-0638-0","article-title":"Prediction of the unconfined compressive strength of soft rocks: A PSO-based ANN approach","volume":"74","author":"Tonnizam","year":"2015","journal-title":"Bulletin of Engineering Geology and the Environment"},{"key":"10.3233\/JCM-170742_ref42","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1016\/j.ijepes.2014.07.058","article-title":"Enhanced leader PSO (ELPSO): A new algorithm for allocating distributed TCSC\u2019s in power systems","volume":"64","author":"Jordehi","year":"2015","journal-title":"International Journal of Electrical Power & Energy Systems"},{"key":"10.3233\/JCM-170742_ref43","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.ress.2015.02.001","article-title":"Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability","volume":"138","author":"Nieto","year":"2015","journal-title":"Reliability Engineering & System Safety"},{"issue":"1","key":"10.3233\/JCM-170742_ref44","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.ijpe.2012.03.013","article-title":"A hybrid PSO algorithm for a multi-objective assembly line balancing problem with flexible operation times, sequence-dependent setup times and learning effect","volume":"141","author":"Nima","year":"2013","journal-title":"International Journal of Production Economics"},{"key":"10.3233\/JCM-170742_ref45","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/j.neucom.2012.07.019","article-title":"Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings","volume":"99","author":"Liu","year":"2013","journal-title":"Neurocomputing"},{"key":"10.3233\/JCM-170742_ref46","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.apenergy.2014.04.047","article-title":"An improved PSO-based charging strategy of electric vehicles in electrical distribution grid","volume":"128","author":"Yang","year":"2014","journal-title":"Applied Energy"},{"key":"10.3233\/JCM-170742_ref47","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1016\/j.energy.2013.10.082","article-title":"Distribution expansion planning considering reliability and security of energy using modified PSO (Particle Swarm Optimization) algorithm","volume":"65","author":"Jamshid","year":"2014","journal-title":"Energy"},{"issue":"2","key":"10.3233\/JCM-170742_ref48","doi-asserted-by":"crossref","first-page":"219","DOI":"10.3233\/JCM-160614","article-title":"A variant of group search optimizer for global optimization","volume":"16","author":"Chen","year":"2016","journal-title":"Journal of Computational Methods in Sciences and Engineering"},{"issue":"4","key":"10.3233\/JCM-170742_ref49","doi-asserted-by":"crossref","first-page":"635","DOI":"10.3233\/JCM-150586","article-title":"Study on the particle swarm optimization based on double mutation","volume":"15","author":"Luo","year":"2015","journal-title":"Journal of Computational Methods in Sciences and Engineering"},{"key":"10.3233\/JCM-170742_ref50","doi-asserted-by":"crossref","unstructured":"P. Wang, D.M. Zhao and X. Zhang, Reactive power optimization in regional grids by improved PSO algorithm, in: Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control (2014), 121\u2013125.","DOI":"10.1109\/IMCCC.2014.33"}],"container-title":["Journal of Computational Methods in Sciences and Engineering"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JCM-170742","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T16:31:19Z","timestamp":1771000279000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JCM-170742"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,8]]},"references-count":50,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/jcm-170742","relation":{},"ISSN":["1472-7978","1875-8983"],"issn-type":[{"value":"1472-7978","type":"print"},{"value":"1875-8983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,8]]}}}