{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:18:01Z","timestamp":1740107881910,"version":"3.37.3"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"21","license":[{"start":{"date-parts":[[2017,7,18]],"date-time":"2017-07-18T00:00:00Z","timestamp":1500336000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61590923","61422303"],"award-info":[{"award-number":["61590923","61422303"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1007\/s00500-017-2724-2","type":"journal-article","created":{"date-parts":[[2017,7,18]],"date-time":"2017-07-18T04:35:50Z","timestamp":1500352550000},"page":"7207-7225","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Genetic mechanism-enhanced standard particle swarm optimization 2011"],"prefix":"10.1007","volume":"22","author":[{"given":"Wenli","family":"Du","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,18]]},"reference":[{"key":"2724_CR1","doi-asserted-by":"publisher","unstructured":"Bonyadi MR, Michalewicz Z (2014) SPSO2011-analysis of stability, local convergence, and rotation sensitivity. In: GECCO\u2019140 proceedings of the 2014 genetic and evolutionary computation conference, vol 11, no 70, pp 9\u201315. doi: 10.1145\/2576768.2598263","DOI":"10.1145\/2576768.2598263"},{"issue":"3","key":"2724_CR2","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1109\/TEVC.2015.2460753","volume":"20","author":"MR Bonyadi","year":"2016","unstructured":"Bonyadi MR, Michalewicz Z (2016) Analysis of stability, local convergence, and transformation sensitivity of a variant of the particle swarm optimization algorithm. IEEE Trans Evol Comput 20(3):370\u2013385. doi: 10.1109\/TEVC.2015.2460753","journal-title":"IEEE Trans Evol Comput"},{"key":"2724_CR3","doi-asserted-by":"publisher","unstructured":"Clerc M (2006a) Particle swarm optimization. ISTE (International Scientific and Technical Encyclopedia). doi: 10.1002\/9780470612163.ch16","DOI":"10.1002\/9780470612163.ch16"},{"key":"2724_CR4","doi-asserted-by":"crossref","unstructured":"Clerc M (2006b) Stagnation analysis in particle swarm optimisation or what happens when nothing happens. Particle Swarm Optimization. http:\/\/csee.essex.ac.uk\/technical-reports\/2006\/csm-460.pdf . Accessed 25 Feb 2017","DOI":"10.1002\/9780470612163"},{"key":"2724_CR5","unstructured":"Clerc M (2007) Back to random topology. Tech. rep., Reflat\u00f3rio T\u00e9cnico, mar. http:\/\/clerc.maurice.free.fr\/pso\/random_topology.pdf . Accessed 25 Feb 2017"},{"key":"2724_CR6","unstructured":"Clerc M (2012) Standard particle swarm optimisation from 2006 to 2011. Tech. rep., Particle Swarm Central. http:\/\/clerc.maurice.free.fr\/pso\/SPSO_descriptions.pdf . Accessed 25 Feb 2017"},{"issue":"1","key":"2724_CR7","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1109\/4235.985692","volume":"6","author":"M Clerc","year":"2002","unstructured":"Clerc M, Kennedy J (2002) The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans Evol Comput 6(1):58\u201373. doi: 10.1109\/4235.985692","journal-title":"IEEE Trans Evol Comput"},{"issue":"10","key":"2724_CR8","doi-asserted-by":"publisher","first-page":"2277","DOI":"10.1109\/TCYB.2015.2475174","volume":"46","author":"YJ Gong","year":"2016","unstructured":"Gong YJ, Li JJ, Zhou Y, Li Y, Chung HSH, Shi YH, Zhang J (2016) Genetic learning particle swarm optimization. IEEE Trans Cybern 46(10):2277\u20132290. doi: 10.1109\/TCYB.2015.2475174","journal-title":"IEEE Trans Cybern"},{"key":"2724_CR9","unstructured":"Hansen N (2006) Compilation of results on the 2005 CEC benchmark function set. Tech. rep., Nanyang Technological University, Singapore; IIT Kanpur Kanpur, India. http:\/\/www.al-roomi.org\/multimedia\/CEC_Database\/CEC2005\/CEC2005_Presentation.pdf . Accessed 25 Feb 2017"},{"issue":"3","key":"2724_CR10","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1007\/11816102_11","volume":"2","author":"Q He","year":"2006","unstructured":"He Q, Han C (2006) An improved particle swarm optimization algorithm with disturbance term. Comput Intell Bioinform 2(3):100\u2013108. doi: 10.1007\/11816102_11","journal-title":"Comput Intell Bioinform"},{"issue":"1","key":"2724_CR11","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.ipl.2006.10.005","volume":"102","author":"M Jiang","year":"2007","unstructured":"Jiang M, Luo YP, Yang SY (2007) Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm. Inf Process Lett 102(1):8\u201316. doi: 10.1016\/j.ipl.2006.10.005","journal-title":"Inf Process Lett"},{"issue":"A, SI","key":"2724_CR12","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1016\/j.neucom.2015.08.065","volume":"174","author":"J Jie","year":"2016","unstructured":"Jie J, Zhang J, Zheng H, Hou B (2016) Formalized model and analysis of mixed swarm based cooperative particle swarm optimization. Neurocomputing 174(A, SI):542\u2013552. doi: 10.1016\/j.neucom.2015.08.065","journal-title":"Neurocomputing"},{"issue":"2","key":"2724_CR13","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1109\/TSMCB.2003.818557","volume":"34","author":"CF Juang","year":"2004","unstructured":"Juang CF (2004) A hybrid of genetic algorithm and particle swarm optimization for recurrent network design. IEEE Trans Syst Man Cybern 34(2):997\u20131006. doi: 10.1109\/TSMCB.2003.818557","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"2","key":"2724_CR14","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1016\/j.asoc.2007.07.002","volume":"8","author":"YT Kao","year":"2008","unstructured":"Kao YT, Zahara E (2008) A hybrid genetic algorithm and particle swarm optimization for multimodal functions. Appl Soft Comput 8(2):849\u2013857. doi: 10.1016\/j.asoc.2007.07.002","journal-title":"Appl Soft Comput"},{"key":"2724_CR15","doi-asserted-by":"publisher","unstructured":"Kennedy J (1999) Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance. In: Proceedings of the 1999 congress on evolutionary computation, vol 3, pp 1931\u20131938. doi: 10.1109\/CEC.1999.785509","DOI":"10.1109\/CEC.1999.785509"},{"key":"2724_CR16","doi-asserted-by":"publisher","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: 1995 IEEE international conference on neural networks: proceedings, vol 4, pp 1942\u20131948. doi: 10.1109\/ICNN.1995.488968","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"11","key":"2724_CR17","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1007\/s00500-007-0272-x","volume":"12","author":"S Li","year":"2008","unstructured":"Li S, Wu X, Tan M (2008) Gene selection using hybrid particle swarm optimization and genetic algorithm. Soft Comput 12(11):1039\u20131048. doi: 10.1007\/s00500-007-0272-x","journal-title":"Soft Comput"},{"key":"2724_CR18","unstructured":"Liang JJ, Qu BY, Suganthan PN, Hern\u00e1ndez-D\u00edaz, Alfredo G (2013) Problem definitions and evaluation criteria for the CEC 2013 special session on real-parameter optimization. Tech. rep., Zhengzhou University, Zhengzhou China; Nanyang Technological University, Singapore. http:\/\/www.al-roomi.org\/multimedia\/CEC_Database\/CEC2013\/RealParameterOptimization\/CEC2013_RealParameterOptimization_TechnicalReport.pdf . Accessed 25 Feb 2017"},{"issue":"3","key":"2724_CR19","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1109\/TSMCB.2008.921005","volume":"38","author":"SH Ling","year":"2008","unstructured":"Ling SH, Iu HHC, Chan KY, Lam HK, Yeung BCW, Leung FH (2008) Hybrid particle swarm optimization with wavelet mutation and its industrial applications. IEEE Trans Syst Man Cybern 38(3):743\u2013763. doi: 10.1109\/TSMCB.2008.921005","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"2","key":"2724_CR20","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1162\/EVCO_a_00129","volume":"23","author":"Q Liu","year":"2015","unstructured":"Liu Q (2015) Order-2 stability analysis of particle swarm optimization. Evolut Comput 23(2):187\u2013216. doi: 10.1162\/EVCO_a_00129","journal-title":"Evolut Comput"},{"key":"2724_CR21","unstructured":"Loshchilov I, Stuetzle T, Liao T (2013) Ranking results of cec13 special session & competition on real-parameter single objective optimization. Tech. rep., Nanyang Technological University, Singapore; IIT Kanpur Kanpur, India. http:\/\/www.al-roomi.org\/multimedia\/CEC_Database\/CEC2013\/RealParameterOptimization\/CEC2013_RealParameterOptimization_Presentation.rar . Accessed 25 Feb 2017"},{"key":"2724_CR22","doi-asserted-by":"publisher","unstructured":"Malik AJ, Khan FA (2014) Particle swarm optimization with non-linear velocity. In: 2014 IEEE international conference on systems, man and cybernetics (SMC), pp 602\u2013607. doi: 10.1109\/SMC.2014.6973974","DOI":"10.1109\/SMC.2014.6973974"},{"key":"2724_CR23","unstructured":"Mendes R (2004) Population topologies and their influence in particle swarm performance. Ph.D. thesis, Univercity of Minho. http:\/\/citeseerx.ist.psu.edu\/viewdoc\/download;jsessionid=9E06BCECBFE97E90CD07064131A2E9A9?doi=10.1.1.150.6463&rep=rep1&type=pdf . Accessed 25 Feb 2017"},{"issue":"3","key":"2724_CR24","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1109\/tevc.2004.826074","volume":"8","author":"R Mendes","year":"2004","unstructured":"Mendes R, Kennedy J, Neves J (2004) The fully informed particle swarm: simpler, maybe better. IEEE Trans Evolut Comput 8(3):204\u2013210. doi: 10.1109\/tevc.2004.826074","journal-title":"IEEE Trans Evolut Comput"},{"issue":"1","key":"2724_CR25","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.ijepes.2011.08.023","volume":"34","author":"MH Moradi","year":"2012","unstructured":"Moradi MH, Abedini M (2012) A combination of genetic algorithm and particle swarm optimization for optimal dg location and sizing in distribution systems. Int J Electr Power Energy Syst 34(1):66\u201374. doi: 10.1016\/j.ijepes.2011.08.023","journal-title":"Int J Electr Power Energy Syst"},{"issue":"4","key":"2724_CR26","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TEVC.2008.2011744","volume":"13","author":"R Poli","year":"2009","unstructured":"Poli R (2009) Mean and variance of the sampling distribution of particle swarm optimizers during stagnation. IEEE Trans Evolut Comput 13(4):712\u2013721. doi: 10.1109\/TEVC.2008.2011744","journal-title":"IEEE Trans Evolut Comput"},{"key":"2724_CR27","doi-asserted-by":"publisher","unstructured":"Ratanavilisagul C, Kruatrachue B (2014) A modified particle swarm optimization with dynamic mutation period. In: International conference on electrical engineering\/electronics, computer, telecommunications and information technology, IEEE, pp 1\u20136. doi: 10.1109\/ECTICon.2014.6839762","DOI":"10.1109\/ECTICon.2014.6839762"},{"issue":"3","key":"2724_CR28","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1109\/TEVC.2004.826071","volume":"8","author":"A Ratnaweera","year":"2004","unstructured":"Ratnaweera A, Halgamuge SK, Watson HC (2004) Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Trans Evol Comput 8(3):240\u2013255. doi: 10.1109\/TEVC.2004.826071","journal-title":"IEEE Trans Evol Comput"},{"key":"2724_CR29","doi-asserted-by":"publisher","unstructured":"Schoene T, Ludwig S, Spiteri R (2012) Step-optimized particle swarm optimization. In: 2012 IEEE congress on evolutionary computation (CEC), IEEE Computational Intelligence Society, pp 1\u20139. doi: 10.1109\/CEC.2012.6256423","DOI":"10.1109\/CEC.2012.6256423"},{"key":"2724_CR30","doi-asserted-by":"publisher","unstructured":"Shi Y, Eberhart R (1998) A modified particle swarm optimizer. In: Proceedings of the 1998 IEEE international conference on evolutionary computation, vol 49, no 5, pp 69\u201373. doi: 10.1109\/ICEC.1998.699146","DOI":"10.1109\/ICEC.1998.699146"},{"issue":"5","key":"2724_CR31","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/j.ipl.2004.11.003","volume":"93","author":"X Shi","year":"2005","unstructured":"Shi X, Liang Y, Lee H, Lu C, Wang L (2005) An improved ga and a novel PSO-GA-based hybrid algorithm. Inf Process Lett 93(5):255\u2013261. doi: 10.1016\/j.ipl.2004.11.003","journal-title":"Inf Process Lett"},{"key":"2724_CR32","unstructured":"Suganthan PN, Hansen N, Liang JJ, Deb K, Chen YP, Auger A, Tiwari S (2005) Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization. Tech. rep., Nanyang Technological University, Singapore; IIT Kanpur Kanpur, India. http:\/\/www.al-roomi.org\/multimedia\/CEC_Database\/CEC2005\/CEC2005_TechnicalReport.pdf . Accessed 25 Feb 2017"},{"issue":"6","key":"2724_CR33","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/S0020-0190(02)00447-7","volume":"85","author":"I Trelea","year":"2003","unstructured":"Trelea I (2003) The particle swarm optimization algorithm: convergence analysis and parameter selection. Inf Process Lett 85(6):317\u2013325. doi: 10.1016\/S0020-0190(02)00447-7","journal-title":"Inf Process Lett"},{"key":"2724_CR34","doi-asserted-by":"publisher","first-page":"1333","DOI":"10.1109\/CEC.2008.4630968","volume":"2008","author":"F Valdez","year":"2008","unstructured":"Valdez F, Melin P, Castillo O, Montiel O (2008) A new evolutionary method with a hybrid approach combining particle swarm optimization and genetic algorithms using fuzzy logic for decision making. Evolut Comput CEC 2008:1333\u20131339. doi: 10.1109\/CEC.2008.4630968","journal-title":"Evolut Comput CEC"},{"issue":"4","key":"2724_CR35","doi-asserted-by":"publisher","first-page":"341","DOI":"10.3233\/FI-2010-370","volume":"105","author":"F Bergh van den","year":"2010","unstructured":"van den Bergh F, Engelbrecht AP (2010) A convergence proof for the particle swarm optimiser. Fundam Inform 105(4):341\u2013374. doi: 10.3233\/FI-2010-370","journal-title":"Fundam Inform"},{"issue":"2","key":"2724_CR36","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/4235.771163","volume":"3","author":"X Yao","year":"1999","unstructured":"Yao X, Liu Y, Lin G (1999) Evolutionary programming made faster. IEEE Trans Evol Comput 3(2):82\u2013102. doi: 10.1109\/4235.771163","journal-title":"IEEE Trans Evol Comput"},{"key":"2724_CR37","doi-asserted-by":"publisher","unstructured":"Zambrano-Bigiarini M, Clerc M, Rojas R (2013) Standard particle swarm optimisation 2011 at cec-20130 a baseline for future pso improvements. In: 2013 IEEE congress on evolutionary computation (CEC), pp 2337\u20132344. doi: 10.1109\/CEC.2013.6557848","DOI":"10.1109\/CEC.2013.6557848"},{"issue":"6","key":"2724_CR38","doi-asserted-by":"publisher","first-page":"1362","DOI":"10.1109\/TSMCB.2009.2015956","volume":"39","author":"ZH Zhan","year":"2009","unstructured":"Zhan ZH, Zhang J, Li Y, Chung HSH (2009) Adaptive particle swarm optimization. IEEE Trans Syst Man Cybern 39(6):1362\u20131381. doi: 10.1109\/TSMCB.2009.2015956","journal-title":"IEEE Trans Syst Man Cybern"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-017-2724-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-017-2724-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-017-2724-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,30]],"date-time":"2019-09-30T14:19:54Z","timestamp":1569853194000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-017-2724-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,18]]},"references-count":38,"journal-issue":{"issue":"21","published-print":{"date-parts":[[2018,11]]}},"alternative-id":["2724"],"URL":"https:\/\/doi.org\/10.1007\/s00500-017-2724-2","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"type":"print","value":"1432-7643"},{"type":"electronic","value":"1433-7479"}],"subject":[],"published":{"date-parts":[[2017,7,18]]}}}