{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T21:40:01Z","timestamp":1748986801727,"version":"3.41.0"},"reference-count":70,"publisher":"Springer Science and Business Media LLC","issue":"22","license":[{"start":{"date-parts":[[2016,6,9]],"date-time":"2016-06-09T00:00:00Z","timestamp":1465430400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China (CN)","doi-asserted-by":"publisher","award":["61503287","71371142"],"award-info":[{"award-number":["61503287","71371142"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Program for Young Excellent Talents in Tongji University (Shanghai, China)","award":["2014KJ046"],"award-info":[{"award-number":["2014KJ046"]}]},{"name":"Shanghai University Young Teachers\u2019 Training Program(Shanghai, China)","award":["ZZslg15087"],"award-info":[{"award-number":["ZZslg15087"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1007\/s00500-016-2209-8","type":"journal-article","created":{"date-parts":[[2016,6,9]],"date-time":"2016-06-09T01:37:14Z","timestamp":1465436234000},"page":"6605-6632","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Novel migration operators of biogeography-based optimization and Markov analysis"],"prefix":"10.1007","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9715-3836","authenticated-orcid":false,"given":"Weian","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenyong","family":"Si","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongwei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongjun","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junjie","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,6,9]]},"reference":[{"key":"2209_CR1","volume-title":"Advances in evolutionary algorithms: theory, design and practice","author":"C Ahn","year":"2006","unstructured":"Ahn C (2006) Advances in evolutionary algorithms: theory, design and practice. Springer, New York"},{"key":"2209_CR2","doi-asserted-by":"crossref","DOI":"10.1002\/9781118557716","volume-title":"Nonparametric tests for complete data","author":"V Bagdonavius","year":"2011","unstructured":"Bagdonavius V, Kruopis J, Nikulin M (2011) Nonparametric tests for complete data. Wiley-ISTE, New York"},{"key":"2209_CR3","doi-asserted-by":"crossref","unstructured":"Brest J, Zamuda A, Fister I, Mau\u010dec MS (2010) Large scale global optimization using self-adaptive differential evolution algorithm. In: IEEE congress on evolutionary computation (CEC), 2010, pp 1\u20138","DOI":"10.1109\/CEC.2010.5585927"},{"key":"2209_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2012.04.003","volume":"205","author":"O Castillo","year":"2012","unstructured":"Castillo O, Melin P (2012) Optimization of type-2 fuzzy systems based on bio-inspired methods: a concise review. Inf Sci 205:1\u201319","journal-title":"Inf Sci"},{"issue":"8","key":"2209_CR5","doi-asserted-by":"crossref","first-page":"1698","DOI":"10.1016\/j.engappai.2012.02.007","volume":"25","author":"A Chatterjee","year":"2012","unstructured":"Chatterjee A, Siarry P, Nakib A, Blanc R (2012) An improved biogeography based optimization approach for segmentation of human head CT-scan images employing fuzzy entropy. Eng Appl Artif Intell 25(8):1698\u20131709","journal-title":"Eng Appl Artif Intell"},{"issue":"14","key":"2209_CR6","doi-asserted-by":"crossref","first-page":"2989","DOI":"10.1016\/j.ins.2010.05.008","volume":"181","author":"J Chang","year":"2011","unstructured":"Chang J, Shi P (2011) Using investment satisfaction capability index based particle swarm optimization to construct a stock portfolio. Inf Sci 181(14):2989\u20132999","journal-title":"Inf Sci"},{"key":"2209_CR7","doi-asserted-by":"crossref","unstructured":"Chen BJ, Shu HZ, Coatrieux G, Chen G, Xun XM, Coatrieux JL (2015) Color image analysis by quaternion-type moments. J Math Imaging Vis 51:124\u2013144","DOI":"10.1007\/s10851-014-0511-6"},{"key":"2209_CR8","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.ins.2014.08.039","volume":"291","author":"R Cheng","year":"2015","unstructured":"Cheng R, Jin Y (2015) A social learning particle swarm optimization algorithm for scalable optimization. Inf Sci 291:43\u201360","journal-title":"Inf Sci"},{"issue":"2","key":"2209_CR9","doi-asserted-by":"crossref","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":"2209_CR10","doi-asserted-by":"crossref","unstructured":"Clerc M (1999) The swarm and the queen: toward a deterministic and adaptive particle swarm optimization, vol 3. In: Proceedings of the 1999 congress on evolutionary computation, Washington, DC, pp 1951\u20131957","DOI":"10.1109\/CEC.1999.785513"},{"issue":"1","key":"2209_CR11","doi-asserted-by":"crossref","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 multi-dimensional complex space. IEEE Trans Evolut Comput 6(1):58\u201373","journal-title":"IEEE Trans Evolut Comput"},{"key":"2209_CR12","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/1290.001.0001","volume-title":"Ant colony optimization","author":"M Dorigo","year":"2004","unstructured":"Dorigo M, St\u00fctzle T (2004) Ant colony optimization. MIT Press, Cambridge"},{"key":"2209_CR13","first-page":"187","volume":"II","author":"LJ Eshelman","year":"1993","unstructured":"Eshelman LJ, Schaffer JD (1993) Real-coded genetic algorithms and interval schemata. Found Genet Algorithms II:187\u2013202","journal-title":"Found Genet Algorithms"},{"key":"2209_CR14","doi-asserted-by":"publisher","unstructured":"Feng Q, Liu S, Wu Q, Tang GQ, Zhang H, Chen H (2013) Modified biogeography-based optimization with local search mechanism. J Appl Math. doi: 10.1155\/2013\/960524","DOI":"10.1155\/2013\/960524"},{"key":"2209_CR15","unstructured":"Fu ZJ, Sun XM, Liu Q, Zhou L, Shu JG (2015) Achieving efficient cloud search services: multi-keyword ranked search over encrypted cloud date supporting parallel computing. IEICE Trans Commun E98B(1):190\u2013200"},{"key":"2209_CR16","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.neunet.2015.03.013","volume":"67","author":"B Gu","year":"2015","unstructured":"Gu B, Sheng VS, Wang Z, Ho D, Osman S, Li S (2015) Incremental learning for nu-support vector regression. Neual Netw 67:140\u2013150","journal-title":"Neual Netw"},{"issue":"7","key":"2209_CR17","doi-asserted-by":"crossref","first-page":"1403","DOI":"10.1109\/TNNLS.2014.2342533","volume":"26","author":"B Gu","year":"2015","unstructured":"Gu B, Sheng VS, Tay KY, Romano W, Li S (2015) Incremental support vector learning for ordinal regression. IEEE Trans Neural Netw Learn Syst 26(7):1403\u20131416","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"1","key":"2209_CR18","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.ins.2013.07.018","volume":"254","author":"W Guo","year":"2014","unstructured":"Guo W, Wang L, Wu Q (2014) An analysis of the migration rates of biogeography-based optimization. Inf Sci 254(1):111\u2013140","journal-title":"Inf Sci"},{"issue":"7","key":"2209_CR19","doi-asserted-by":"crossref","first-page":"1881","DOI":"10.1007\/s00500-014-1370-1","volume":"19","author":"W Guo","year":"2015","unstructured":"Guo W, Wang L, Ge SS, Ren H, Mao Y (2015) Drift analysis of mutation operations for biogeography-based optimization. Soft Comput 19(7):1881\u20131892","journal-title":"Soft Comput"},{"key":"2209_CR20","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.ins.2015.07.059","volume":"328","author":"W Guo","year":"2016","unstructured":"Guo W, Wang L, Qidi W (2016) Numerical comparisons of migration models for multi-objective biogeography-based optimization. Inf Sci 328:302\u2013320","journal-title":"Inf Sci"},{"issue":"8","key":"2209_CR21","doi-asserted-by":"crossref","first-page":"5023","DOI":"10.1109\/TIE.2015.2400427","volume":"62","author":"W He","year":"2015","unstructured":"He W, Ge SS (2015) Vibration control of a flexible beam with output constraint. IEEE Trans Ind Electron 62(8):5023\u20135030","journal-title":"IEEE Trans Ind Electron"},{"issue":"4","key":"2209_CR22","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.automatica.2015.12.026","volume":"66","author":"W He","year":"2016","unstructured":"He W, Ge SS (2016) Cooperative control of a nonuniform gantry crane with constrained tension. Automatica 66(4):146\u2013154","journal-title":"Automatica"},{"issue":"8","key":"2209_CR23","doi-asserted-by":"crossref","first-page":"4126","DOI":"10.1109\/TIE.2013.2288200","volume":"61","author":"W He","year":"2014","unstructured":"He W, Zhang S, Ge SS (2014) Adaptive control of a flexible crane system with the boundary output constraint. IEEE Trans Ind Electron 61(8):4126\u20134133","journal-title":"IEEE Trans Ind Electron"},{"key":"2209_CR24","doi-asserted-by":"crossref","unstructured":"He W, Chen Y, Yin Z (2016) Adaptive neural network control of an uncertain robot with full-state constraints. IEEE Trans Cybern 46(3):620\u2013629","DOI":"10.1109\/TCYB.2015.2411285"},{"key":"2209_CR25","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/1090.001.0001","volume-title":"Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence","author":"JH Holland","year":"1992","unstructured":"Holland JH (1992) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. MIT Press, Cambridge"},{"issue":"2","key":"2209_CR26","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1109\/TPWRS.2011.2178274","volume":"27","author":"P Kankanala","year":"2012","unstructured":"Kankanala P, Srivastava S, Srivastava A, Schulz N (2012) Optimal control of voltage and power in a multi-zonal mvdc shipboard power system. IEEE Trans Power Syst 27(2):642\u2013650","journal-title":"IEEE Trans Power Syst"},{"key":"2209_CR27","volume-title":"Swarm intelligence","author":"J Kennedy","year":"2001","unstructured":"Kennedy J, Eberhart RC, Shi Y (2001) Swarm intelligence. Morgan Kaufmann Publishers, San Francisco"},{"key":"2209_CR28","doi-asserted-by":"publisher","unstructured":"Khatib W, Fleming PL (1998) The stud GA: A mini revolution? In: Eiben AE, B\u00e4ck T, Schoenauer M, Schwefel H-P (eds) Parallel problem solving from nature\u2013PPSN V: proceedings of the 5th international conference Amsterdam, The Netherlands, September 27\u201330, 1998, vol 1498. Springer, Berlin, Heidelberg, pp 683\u2013691. doi: 10.1007\/BFb0056910","DOI":"10.1007\/BFb0056910"},{"key":"2209_CR29","doi-asserted-by":"crossref","unstructured":"Korosec P, Tashkova K, Silc J (2010) The differential ant-stigmergy algorithm for large-scale global optimization. In: IEEE congress on evolutionary computation (CEC), 2010, pp 1\u20138","DOI":"10.1109\/CEC.2010.5586201"},{"key":"2209_CR30","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.ins.2012.12.051","volume":"233","author":"P Larranaga","year":"2013","unstructured":"Larranaga P, Karshenas H, Bielza C, Santana R (2013) A review on evolutionary algorithms in bayesian network learning and inference tasks. Inf Sci 233:109\u2013125","journal-title":"Inf Sci"},{"key":"2209_CR31","doi-asserted-by":"crossref","unstructured":"Latorre A, Muelas S, Pena J-M (2013) Large scale global optimization: experimental results with mos-based hybrid algorithms, pp 2742\u20132749, Cancun, Mexico","DOI":"10.1109\/CEC.2013.6557901"},{"issue":"2","key":"2209_CR32","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1016\/j.amc.2011.05.110","volume":"218","author":"X Li","year":"2011","unstructured":"Li X, Wang J, Zhou J, Yin M (2011) A perturb biogeography based optimization with mutation for global numerical optimization. Appl Math Comput 218(2):598\u2013609","journal-title":"Appl Math Comput"},{"key":"2209_CR33","unstructured":"Li X, Tang K, Omidvar M, Yang Z, Qin K (2013) Benchmark functions for the cec\u20192013 special session and competition on large scale global optimization. In: Technical report, Evolutionary Computation and Machine Learning Group, RMIT University, Australia, 2013"},{"issue":"3","key":"2209_CR34","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1109\/TIFS.2014.2381872","volume":"10","author":"J Li","year":"2015","unstructured":"Li J, Li XL, Sun XM (2015) Segmentation-based image copy-move forgery detection scheme. IEEE Trans Inf Forensics Secur 10(3):507\u2013518","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"2209_CR35","doi-asserted-by":"crossref","unstructured":"Liu J, Tang K (2013) Scaling up covariance matrix adaptation evolution strategy using cooperative coevolution. In: LNCS, vol 8206, pp 350\u2013357, Hefei, China","DOI":"10.1007\/978-3-642-41278-3_43"},{"issue":"2","key":"2209_CR36","doi-asserted-by":"crossref","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"},{"issue":"5","key":"2209_CR37","doi-asserted-by":"crossref","first-page":"2318","DOI":"10.1016\/j.asoc.2013.01.020","volume":"13","author":"MR Lohokare","year":"2013","unstructured":"Lohokare MR, Pattnaik SS, Panigrahi BK, Das S (2013) Accelerated biogeography-based optimization with neighborhood search for optimization. Appl Sofy Comput 13(5):2318\u20132342","journal-title":"Appl Sofy Comput"},{"issue":"18","key":"2209_CR38","doi-asserted-by":"crossref","first-page":"3444","DOI":"10.1016\/j.ins.2010.05.035","volume":"180","author":"H Ma","year":"2010","unstructured":"Ma H (2010) An analysis of the equilibrium of migration models for biogeography-based optimization. Inf Sci 180(18):3444\u20133464","journal-title":"Inf Sci"},{"key":"2209_CR39","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1016\/j.ins.2012.07.007","volume":"220","author":"H Ma","year":"2013","unstructured":"Ma H, Simon D, Fei M, Xie Z (2013) Variations of biogeography-based optimization and Markov analysis. Inf Sci 220:492\u2013506","journal-title":"Inf Sci"},{"issue":"6","key":"2209_CR40","doi-asserted-by":"crossref","first-page":"1052","DOI":"10.1016\/j.engappai.2011.04.012","volume":"24","author":"H Ma","year":"2011","unstructured":"Ma H, Simon D (2011) Analysis of migration models of biogeography-based optimization using markov theory. Eng Appl Artif Intell 24(6):1052\u20131060","journal-title":"Eng Appl Artif Intell"},{"issue":"3","key":"2209_CR41","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1016\/j.engappai.2010.08.005","volume":"24","author":"H Ma","year":"2011","unstructured":"Ma H, Simon D (2011) Blended biogeography-based optimization for constrained optimization. Eng Appl Artif Intell 24(3):517\u2013525","journal-title":"Eng Appl Artif Intell"},{"key":"2209_CR42","unstructured":"Ma TH, Zhou JJ, Tang ML, Tian Y, AL-Dhelaan A, AL-Rodhaan M, Lee S (2015) Social network and tag sources based augmenting collaborative recommender system. IEICE Trans Inf Syst E98D(4):902\u2013910"},{"key":"2209_CR43","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-02830-8","volume-title":"Genetic algorithms + data structures = evolution programs","author":"Z Michalewicz","year":"1992","unstructured":"Michalewicz Z (1992) Genetic algorithms + data structures = evolution programs. Springer, New York"},{"key":"2209_CR44","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: IEEE congress on evolutionary computation (CEC), 2010, pp 1\u20138","DOI":"10.1109\/CEC.2010.5586034"},{"issue":"1","key":"2209_CR45","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1162\/evco.1993.1.1.25","volume":"1","author":"H M\u00fchlenbein","year":"1993","unstructured":"M\u00fchlenbein H, Schlierkamp-Voosen D (1993) Predictive models for the breeder genetic algorithm i. continuous parameter optimization. Evolut Comput 1(1):25\u201349","journal-title":"Evolut Comput"},{"key":"2209_CR46","doi-asserted-by":"crossref","unstructured":"Omidvar MN, Li Xiaodong, Yao Xin (2010) Cooperative co-evolution with delta grouping for large scale non-separable function optimization. In: IEEE congress on evolutionary computation (CEC), 2010, p 1\u20138","DOI":"10.1109\/CEC.2010.5585979"},{"key":"2209_CR47","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4471-0273-1","volume-title":"Evolutionary and adaptive computing in engineering design","author":"I Parmee","year":"2001","unstructured":"Parmee I (2001) Evolutionary and adaptive computing in engineering design. Springer, New York"},{"issue":"3","key":"2209_CR48","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1007\/s00500-011-0753-9","volume":"16","author":"A Puris","year":"2012","unstructured":"Puris A, Bello R, Molina D, Herrera F (2012) Variable mesh optimization for continuous optimization problems. Soft Comput 16(3):511\u2013525","journal-title":"Soft Comput"},{"issue":"2","key":"2209_CR49","first-page":"205","volume":"2","author":"V Savsani","year":"2009","unstructured":"Savsani V, Rao R, Vakharia D (2009) Discrete optimisation of a gear train using biogeography based optimisation technique. Int J Des Eng 2(2):205\u2013223","journal-title":"Int J Des Eng"},{"key":"2209_CR50","unstructured":"Shen J, Tan HW, Wang J, Wang JW, Lee S (2015) A novel routing protocol providing good transmission reliability in underwater sensor networks. J Internet Technol 16(1):171\u2013178"},{"key":"2209_CR51","doi-asserted-by":"crossref","unstructured":"Shin Y-B, Kita E (2014) Search performance improvement of particle swarm optimization by second best particle information. Appl Math Comput 246:346\u2013354","DOI":"10.1016\/j.amc.2014.08.013"},{"issue":"6","key":"2209_CR52","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1109\/TEVC.2008.919004","volume":"12","author":"D Simon","year":"2008","unstructured":"Simon D (2008) Biogeography-based optimization. IEEE Trans Evol Comput 12(6):702\u2013713","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"2209_CR53","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1109\/TSMCB.2010.2051149","volume":"41","author":"D Simon","year":"2011","unstructured":"Simon D, Ergezer M, Dawei D, Rarick R (2011) Markov models for biogeography-based optimization. IEEE Trans Syst Man Cybern Part B Cybern 41(1):299\u2013306","journal-title":"IEEE Trans Syst Man Cybern Part B Cybern"},{"issue":"7","key":"2209_CR54","doi-asserted-by":"crossref","first-page":"1224","DOI":"10.1016\/j.ins.2010.12.006","volume":"181","author":"D Simon","year":"2011","unstructured":"Simon D, Rarick R, Ergezer M, Du D (2011) Analytical and numerical comparisons of biogeography-based optimization and genetic algorithms. Inf Sci 181(7):1224\u20131248","journal-title":"Inf Sci"},{"key":"2209_CR55","volume-title":"Evolutionary optimization algorithms: biologically-inspired and population-based approaches to computer intelligence","author":"D Simon","year":"2013","unstructured":"Simon D (2013) Evolutionary optimization algorithms: biologically-inspired and population-based approaches to computer intelligence. Wiley, New York"},{"key":"2209_CR56","unstructured":"Tang K, Li X, Suganthan PN, Yang Z, Weise T (2009) Benchmark functions for the CEC2010 special session and competition on large-scale global optimization. In: Technical report, Nature Inspired Computation and Applications Laboratory"},{"key":"2209_CR57","doi-asserted-by":"crossref","unstructured":"Wang Yu, Li Bin (2010) Two-stage based ensemble optimization for large-scale global optimization. In: IEEE congress on evolutionary computation (CEC), 2010, pp 1\u20138","DOI":"10.1109\/CEC.2010.5586024"},{"key":"2209_CR58","doi-asserted-by":"crossref","unstructured":"Wang H, Wu Z, Rahnamayan S, Jiang D (2010) Sequential de enhanced by neighborhood search for large scale global optimization. In: IEEE congress on evolutionary computation (CEC), 2010, pp 1\u20137","DOI":"10.1109\/CEC.2010.5586358"},{"issue":"11, SI","key":"2209_CR59","doi-asserted-by":"crossref","first-page":"2089","DOI":"10.1007\/s00500-010-0640-9","volume":"15","author":"M Weber","year":"2011","unstructured":"Weber M, Neri F, Tirronen V (2011) Shuffle or update parallel differential evolution for large-scale optimization. Soft Comput 15(11, SI):2089\u20132107","journal-title":"Soft Comput"},{"key":"2209_CR60","doi-asserted-by":"crossref","unstructured":"Wei F, Wang Y, Huo Y (2013) Smoothing and auxiliary functions based cooperative coevolution for global optimization, pp 2736\u20132741, Cancun, Mexico","DOI":"10.1109\/CEC.2013.6557900"},{"issue":"16","key":"2209_CR61","doi-asserted-by":"crossref","first-page":"7536","DOI":"10.1016\/j.eswa.2014.06.005","volume":"41","author":"G Wu","year":"2014","unstructured":"Wu G, Qiu D, Yu Y, Pedrycz W, Ma M, Li H (2014) Superior solution guided particle swarm optimization combined with local search techniques. Expert Syst Appl 41(16):7536\u20137548","journal-title":"Expert Syst Appl"},{"issue":"2","key":"2209_CR62","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1109\/TPDS.2015.2401003","volume":"27","author":"ZH Xia","year":"2016","unstructured":"Xia ZH, Wang XH, Sun XM, Wang Q (2016) A secure and dynamic multi-keyword ranked search scheme over encrypted cloud data. IEEE Trans Parallel Distrib Syst 27(2):340\u2013352","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"2209_CR63","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/s11277-014-1748-5","volume":"78","author":"SD Xie","year":"2014","unstructured":"Xie SD, Wang YX (2014) Construction of tree network with limited delivery latency in homogeneous wireless sensor networks. Wirel Pers Commun 78:231\u2013246","journal-title":"Wirel Pers Commun"},{"key":"2209_CR64","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1016\/j.enconman.2013.12.052","volume":"80","author":"G Xiong","year":"2014","unstructured":"Xiong G, Li Y, Chen J, Shi D, Duan X (2014) Polyphyletic migration operator and orthogonal learning aided biogeography-based optimization for dynamic economic dispatch with valve-point effects. Energy Convers Manag 80:457\u2013468","journal-title":"Energy Convers Manag"},{"issue":"2","key":"2209_CR65","doi-asserted-by":"crossref","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 Evolut Comput 3(2):82\u2013102","journal-title":"IEEE Trans Evolut Comput"},{"key":"2209_CR66","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.amc.2014.05.044","volume":"242","author":"X Yu","year":"2014","unstructured":"Yu X, Zhang X (2014) Enhanced comprehensive learning particle swarm optimization. Appl Math Comput 242:265\u2013276","journal-title":"Appl Math Comput"},{"issue":"7","key":"2209_CR67","doi-asserted-by":"crossref","first-page":"1014","DOI":"10.1049\/iet-ipr.2010.0497","volume":"6","author":"P Zhang","year":"2012","unstructured":"Zhang P, Wei P, Yu HY (2012) Biogeography-based optimisation search algorithm for block matching motion estimation. IET Image Process 6(7):1014\u20131023","journal-title":"IET Image Process"},{"issue":"4","key":"2209_CR68","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1007\/s10489-013-0494-9","volume":"40","author":"H-G Zhang","year":"2014","unstructured":"Zhang H-G, Liu Y-A, Tang B-H, Liu K-M (2014) An exploratory research of elitist probability schema and its applications in evolutionary algorithms. Appl Intell 40(4):695\u2013709","journal-title":"Appl Intell"},{"issue":"3","key":"2209_CR69","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1007\/s10489-013-0471-3","volume":"40","author":"P Zhang","year":"2014","unstructured":"Zhang P, Liu H, Ding Y (2014) Dynamic bee colony algorithm based on multi-species co-evolution. Appl Intell 40(3):427\u2013440","journal-title":"Appl Intell"},{"key":"2209_CR70","doi-asserted-by":"crossref","unstructured":"Zheng Y, Jeon B, Xu DH, Wu J QM, Zhang H (2015) Image segmentation by generalized hierarchical fuzzy C-means algorithm. J Intell Fuzzy Syst 28:961\u2013973","DOI":"10.3233\/IFS-141378"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-016-2209-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-016-2209-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-016-2209-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-016-2209-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T21:05:14Z","timestamp":1748984714000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-016-2209-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6,9]]},"references-count":70,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2017,11]]}},"alternative-id":["2209"],"URL":"https:\/\/doi.org\/10.1007\/s00500-016-2209-8","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"type":"print","value":"1432-7643"},{"type":"electronic","value":"1433-7479"}],"subject":[],"published":{"date-parts":[[2016,6,9]]}}}