{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T10:38:21Z","timestamp":1762252701445,"version":"3.41.0"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2018,3,6]],"date-time":"2018-03-06T00:00:00Z","timestamp":1520294400000},"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":"crossref","award":["61370102"],"award-info":[{"award-number":["61370102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Guangdong Natural Science Funds for Distinguished Young Scholar","award":["2014A030306050"],"award-info":[{"award-number":["2014A030306050"]}]},{"name":"Guangdong High-level personnel of special support program","award":["2014TQ01X664"],"award-info":[{"award-number":["2014TQ01X664"]}]},{"name":"the Ministry of Education - China Mobile Research Funds","award":["MCM20160206"],"award-info":[{"award-number":["MCM20160206"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1007\/s00500-018-3098-9","type":"journal-article","created":{"date-parts":[[2018,3,6]],"date-time":"2018-03-06T14:50:11Z","timestamp":1520347811000},"page":"4421-4437","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Particle swarm optimization with convergence speed controller for large-scale numerical optimization"],"prefix":"10.1007","volume":"23","author":[{"given":"Han","family":"Huang","sequence":"first","affiliation":[]},{"given":"Liang","family":"Lv","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9349-0560","authenticated-orcid":false,"given":"Shujin","family":"Ye","sequence":"additional","affiliation":[]},{"given":"Zhifeng","family":"Hao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,3,6]]},"reference":[{"issue":"1","key":"3098_CR1","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.jher.2011.04.003","volume":"6","author":"M Afshar","year":"2012","unstructured":"Afshar M (2012) Large scale reservoir operation by constrained particle swarm optimization algorithms. J Hydro Environ Res 6(1):75\u201387","journal-title":"J Hydro Environ Res"},{"issue":"4","key":"3098_CR2","doi-asserted-by":"publisher","first-page":"1001","DOI":"10.1007\/s10845-010-0393-4","volume":"23","author":"B Akay","year":"2012","unstructured":"Akay B, Karaboga D (2012) Artificial bee colony algorithm for large-scale problems and engineering design optimization. J Intell Manuf 23(4):1001\u20131014","journal-title":"J Intell Manuf"},{"key":"3098_CR3","doi-asserted-by":"crossref","unstructured":"Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In: IEEE congress on evolutionary computation, 2007. CEC 2007. IEEE, pp 4661\u20134667","DOI":"10.1109\/CEC.2007.4425083"},{"key":"3098_CR4","unstructured":"Basturk B, Karaboga D (2006) An artificial bee colony (abc) algorithm for numeric function optimization. In: IEEE swarm intelligence symposium, pp 12\u201314"},{"key":"3098_CR5","doi-asserted-by":"crossref","unstructured":"Bratton D, Kennedy J (2007) Defining a standard for particle swarm optimization. In: Swarm Intelligence Symposium, 2007. SIS 2007. IEEE, pp 120\u2013127","DOI":"10.1109\/SIS.2007.368035"},{"key":"3098_CR6","doi-asserted-by":"crossref","unstructured":"Brest J, Boskovic B, Zamuda A, Fister I, Maucec MS (2012) Self-adaptive differential evolution algorithm with a small and varying population size. In: 2012 IEEE congress on evolutionary computation (CEC). IEEE, pp 1\u20138","DOI":"10.1109\/CEC.2012.6252909"},{"key":"3098_CR7","doi-asserted-by":"crossref","unstructured":"Brest J, Zamuda A, Fister I, Maucec MS (2010) Large scale global optimization using self-adaptive differential evolution algorithm. In: 2010 IEEE congress on evolutionary computation (CEC), pp 1\u20138. IEEE","DOI":"10.1109\/CEC.2010.5585927"},{"key":"3098_CR8","doi-asserted-by":"crossref","unstructured":"Cai Z, Lv L, Huang H, Hu H, Liang Y (2017) Improving sampling-based image matting with cooperative coevolution differential evolution algorithm. Soft Comput 21(15):4417\u20134430","DOI":"10.1007\/s00500-016-2250-7"},{"issue":"2","key":"3098_CR9","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1109\/TEVC.2011.2173577","volume":"17","author":"WN Chen","year":"2013","unstructured":"Chen WN, Zhang J, Lin Y, Chen N, Zhan ZH, Chung HSH, Li Y, Shi Yh (2013) Particle swarm optimization with an aging leader and challengers. IEEE Trans Evolut Comput 17(2):241\u2013258","journal-title":"IEEE Trans Evolut Comput"},{"issue":"2","key":"3098_CR10","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1109\/TCYB.2014.2322602","volume":"45","author":"R Cheng","year":"2015","unstructured":"Cheng R, Jin Y (2015) A competitive swarm optimizer for large scale optimization. IEEE Trans Cybern 45(2):191\u2013204","journal-title":"IEEE Trans Cybern"},{"key":"3098_CR11","doi-asserted-by":"crossref","unstructured":"Cheng S, Shi Y, Qin Q (2012) Dynamical exploitation space reduction in particle swarm optimization for solving large scale problems. In: 2012 IEEE congress on evolutionary computation (CEC). IEEE, pp 1\u20138","DOI":"10.1109\/CEC.2012.6252937"},{"issue":"1","key":"3098_CR12","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 Evolut Comput 6(1):58\u201373","journal-title":"IEEE Trans Evolut Comput"},{"issue":"11","key":"3098_CR13","doi-asserted-by":"publisher","first-page":"2233","DOI":"10.1007\/s00500-010-0649-0","volume":"15","author":"MA Oca Montes de","year":"2011","unstructured":"de Oca Montes MA, Ayd\u0131n D, St\u00fctzle T (2011) An incremental particle swarm for large-scale continuous optimization problems: an example of tuning-in-the-loop (re) design of optimization algorithms. Soft Comput 15(11):2233\u20132255","journal-title":"Soft Comput"},{"key":"3098_CR14","doi-asserted-by":"crossref","unstructured":"Eberhart RC, Kennedy J (1995) A new optimizer using particle swarm theory. In: Proceedings of the sixth international symposium on micro machine and human science, vol.\u00a01, pp. 39\u201343. New York, NY","DOI":"10.1109\/MHS.1995.494215"},{"issue":"6","key":"3098_CR15","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1007\/s10732-008-9080-4","volume":"15","author":"S Garc\u00eda","year":"2009","unstructured":"Garc\u00eda S, Molina D, Lozano M, Herrera F (2009) A study on the use of non-parametric tests for analyzing the evolutionary algorithms\u2019 behaviour: a case study on the CEC\u20192005 special session on real parameter optimization. J Heuristics 15(6):617\u2013644","journal-title":"J Heuristics"},{"key":"3098_CR16","doi-asserted-by":"crossref","unstructured":"Ghodrati A, Malakooti MV, Soleimani M (2012) A hybrid ICA\/PSO algorithm by adding independent countries for large scale global optimization. In: Intelligent information and database systems. Springer, pp 99\u2013108","DOI":"10.1007\/978-3-642-28493-9_12"},{"key":"3098_CR17","unstructured":"Gu S, Cheng R, Jin Y (2016) Feature selection for high-dimensional classification using a competitive swarm optimizer. Soft Comput 22(3): 811\u2013822"},{"issue":"1","key":"3098_CR18","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.ins.2010.10.018","volume":"182","author":"H Huang","year":"2012","unstructured":"Huang H, Qin H, Hao Z, Lim A (2012) Example-based learning particle swarm optimization for continuous optimization. Inf Sci 182(1):125\u2013138","journal-title":"Inf Sci"},{"issue":"2","key":"3098_CR19","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1109\/TEVC.2011.2112662","volume":"16","author":"X Li","year":"2012","unstructured":"Li X, Yao X (2012) Cooperatively coevolving particle swarms for large scale optimization. IEEE Trans Evolut Comput 16(2):210\u2013224","journal-title":"IEEE Trans Evolut Comput"},{"key":"3098_CR20","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.gene.2013.03.114","volume":"7","author":"X Li","year":"2013","unstructured":"Li X, Tang K, Omidvar MN, Yang Z, Qin K, China H (2013) Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization. Gene 7:33","journal-title":"Gene"},{"issue":"3","key":"3098_CR21","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1109\/TEVC.2005.857610","volume":"10","author":"JJ Liang","year":"2006","unstructured":"Liang JJ, Qin AK, Suganthan PN, Baskar S (2006) Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans Evolut Comput 10(3):281\u2013295","journal-title":"IEEE Trans Evolut Comput"},{"key":"3098_CR22","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.ins.2014.10.042","volume":"295","author":"S Mahdavi","year":"2015","unstructured":"Mahdavi S, Shiri ME, Rahnamayan S (2015) Metaheuristics in large-scale global continues optimization: a survey. Inf Sci 295:407\u2013428","journal-title":"Inf Sci"},{"issue":"3","key":"3098_CR23","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1109\/TEVC.2013.2281503","volume":"18","author":"Y Mei","year":"2014","unstructured":"Mei Y, Li X, Yao X (2014) Cooperative coevolution with route distance grouping for large-scale capacitated arc routing problems. IEEE Trans Evolut Comput 18(3):435\u2013449","journal-title":"IEEE Trans Evolut Comput"},{"key":"3098_CR24","doi-asserted-by":"crossref","unstructured":"Molina D, Lozano M, Herrera F (2010) Ma-sw-chains: Memetic algorithm based on local search chains for large scale continuous global optimization. In: 2010 IEEE congress on evolutionary computation (CEC). IEEE, pp 1\u20138","DOI":"10.1109\/CEC.2010.5586034"},{"key":"3098_CR25","doi-asserted-by":"crossref","unstructured":"Omidvar MN, Li X, Yao X (2010) Cooperative co-evolution with delta grouping for large scale non-separable function optimization. In: 2010 IEEE congress on evolutionary computation (CEC). IEEE, pp 1\u20138","DOI":"10.1109\/CEC.2010.5585979"},{"issue":"3","key":"3098_CR26","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1109\/TEVC.2013.2281543","volume":"18","author":"MN Omidvar","year":"2014","unstructured":"Omidvar MN, Li X, Mei Y, Yao X (2014) Cooperative co-evolution with differential grouping for large scale optimization. IEEE Trans Evolut Comput 18(3):378\u2013393","journal-title":"IEEE Trans Evolut Comput"},{"key":"3098_CR27","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1016\/j.ins.2014.12.062","volume":"316","author":"MN Omidvar","year":"2015","unstructured":"Omidvar MN, Li X, Tang K (2015) Designing benchmark problems for large-scale continuous optimization. Inf Sci 316:419\u2013436","journal-title":"Inf Sci"},{"key":"3098_CR28","doi-asserted-by":"crossref","unstructured":"Potter MA, De\u00a0Jong KA (1994) A cooperative coevolutionary approach to function optimization. In: Parallel problem solving from nature PPSN III. Springer, pp 249\u2013257","DOI":"10.1007\/3-540-58484-6_269"},{"issue":"6","key":"3098_CR29","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1007\/s00500-013-0984-z","volume":"17","author":"Y Ren","year":"2013","unstructured":"Ren Y, Wu Y (2013) An efficient algorithm for high-dimensional function optimization. Soft Comput 17(6):995\u20131004","journal-title":"Soft Comput"},{"key":"3098_CR30","volume-title":"Convergence analysis for particle swarm optimization","author":"BI Schmitt","year":"2015","unstructured":"Schmitt BI (2015) Convergence analysis for particle swarm optimization. FAU University Press, Boca Raton"},{"key":"3098_CR31","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.tcs.2014.05.017","volume":"561","author":"M Schmitt","year":"2015","unstructured":"Schmitt M, Wanka R (2015) Particle swarm optimization almost surely finds local optima. Theor Comput Sci 561:57\u201372","journal-title":"Theor Comput Sci"},{"key":"3098_CR32","unstructured":"Shi Y, Eberhart R (1998) A modified particle swarm optimizer. In: The 1998 IEEE international conference on evolutionary computation proceedings, 1998. IEEE World Congress on Computational Intelligence, pp 69\u201373. IEEE"},{"issue":"4","key":"3098_CR33","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 11(4):341\u2013359","journal-title":"J Global Optim"},{"key":"3098_CR34","doi-asserted-by":"crossref","unstructured":"Takahama T, Sakai S (2012) Large scale optimization by differential evolution with landscape modality detection and a diversity archive. In: 2012 IEEE congress on evolutionary computation (CEC). IEEE, pp 1\u20138","DOI":"10.1109\/CEC.2012.6252911"},{"key":"3098_CR35","unstructured":"Tang K, Li X, Suganthan NP, Yang Z, Weise T (2009) Benchmark functions for the CEC 2010 special session and competition on large-scale global optimization. Technical report, University of Science and Technology of China"},{"key":"3098_CR36","unstructured":"Tang K, Y\u00e1o X, Suganthan PN, MacNish C, Chen YP, Chen CM, Yang Z (2007) Benchmark functions for the CEC 2008 special session and competition on large scale global optimization. In: Nature Inspired Computation and Applications Laboratory, USTC, China"},{"key":"3098_CR37","unstructured":"Tseng LY, Chen C (2008) Multiple trajectory search for large scale global optimization. In: IEEE congress on evolutionary computation, 2008. CEC 2008 (IEEE World Congress on Computational Intelligence). IEEE, pp 3052\u20133059"},{"issue":"4","key":"3098_CR38","doi-asserted-by":"crossref","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","journal-title":"Fundam Inform"},{"key":"3098_CR39","unstructured":"Van Den\u00a0Bergh F (2006) An analysis of particle swarm optimizers. Ph.D. thesis, University of Pretoria"},{"issue":"5","key":"3098_CR40","doi-asserted-by":"publisher","first-page":"634","DOI":"10.2514\/2.764","volume":"37","author":"A Vicini","year":"1999","unstructured":"Vicini A, Quagliarella D (1999) Airfoil and wing design through hybrid optimization strategies. AIAA J 37(5):634\u2013641","journal-title":"AIAA J"},{"key":"3098_CR41","doi-asserted-by":"crossref","unstructured":"Wang H, Rahnamayan S, Wu Z (2011) Adaptive differential evolution with variable population size for solving high-dimensional problems. In: 2011 IEEE congress on evolutionary computation (CEC). IEEE, pp 2626\u20132632","DOI":"10.1109\/CEC.2011.5949946"},{"issue":"15","key":"3098_CR42","doi-asserted-by":"publisher","first-page":"2985","DOI":"10.1016\/j.ins.2008.02.017","volume":"178","author":"Z Yang","year":"2008","unstructured":"Yang Z, Tang K, Yao X (2008) Large scale evolutionary optimization using cooperative coevolution. Inf Sci 178(15):2985\u20132999","journal-title":"Inf Sci"},{"key":"3098_CR43","doi-asserted-by":"crossref","unstructured":"Yang Z, Tang K, Yao X (2008) Multilevel cooperative coevolution for large scale optimization. In: IEEE congress on evolutionary computation, 2008. CEC 2008 (IEEE World Congress on Computational Intelligence). IEEE, pp 1663\u20131670","DOI":"10.1109\/CEC.2008.4631014"},{"key":"3098_CR44","unstructured":"Zhang K, Li B (2012) Cooperative coevolution with global search for large scale global optimization. In: 2012 IEEE congress on evolutionary computation (CEC). IEEE, pp 1\u20137"},{"key":"3098_CR45","doi-asserted-by":"crossref","unstructured":"Zhao SZ, Liang JJ, Suganthan PN, Tasgetiren MF (2008) Dynamic multi-swarm particle swarm optimizer with local search for large scale global optimization. In: IEEE congress on evolutionary computation, 2008. CEC 2008 (IEEE World Congress on Computational Intelligence). IEEE, pp 3845\u20133852","DOI":"10.1109\/CEC.2008.4631320"},{"key":"3098_CR46","doi-asserted-by":"crossref","unstructured":"Zhao SZ, Suganthan PN, Das S (2010) Dynamic multi-swarm particle swarm optimizer with sub-regional harmony search. In: 2010 IEEE congress on evolutionary computation (CEC). IEEE, pp 1\u20138","DOI":"10.1109\/CEC.2010.5586323"},{"issue":"1","key":"3098_CR47","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/TEVC.2015.2424251","volume":"20","author":"A Zhou","year":"2016","unstructured":"Zhou A, Zhang Q (2016) Are all the subproblems equally important? resource allocation in decomposition-based multiobjective evolutionary algorithms. IEEE Trans Evol Comput 20(1):52\u201364","journal-title":"IEEE Trans Evol Comput"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-018-3098-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-018-3098-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-018-3098-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T11:50:55Z","timestamp":1751457055000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-018-3098-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,6]]},"references-count":47,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2019,6]]}},"alternative-id":["3098"],"URL":"https:\/\/doi.org\/10.1007\/s00500-018-3098-9","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"type":"print","value":"1432-7643"},{"type":"electronic","value":"1433-7479"}],"subject":[],"published":{"date-parts":[[2018,3,6]]},"assertion":[{"value":"6 March 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"All authors of this paper declare that we have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This paper does not contain any studies with human participants or animals. This paper has not been submitted to more than one journal and it has not been published previously.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human and animal rights"}}]}}