{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T23:37:07Z","timestamp":1772321827321,"version":"3.50.1"},"reference-count":80,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2019,1,2]],"date-time":"2019-01-02T00:00:00Z","timestamp":1546387200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1007\/s10489-018-1355-3","type":"journal-article","created":{"date-parts":[[2019,1,2]],"date-time":"2019-01-02T02:36:56Z","timestamp":1546396616000},"page":"2059-2083","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["Reinforced cuckoo search algorithm-based multimodal optimization"],"prefix":"10.1007","volume":"49","author":[{"given":"Kalaipriyan","family":"Thirugnanasambandam","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sourabh","family":"Prakash","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Venkatesan","family":"Subramanian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sujatha","family":"Pothula","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vengattaraman","family":"Thirumal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,1,2]]},"reference":[{"key":"1355_CR1","doi-asserted-by":"crossref","unstructured":"Holland JH (1992) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. MIT press","DOI":"10.7551\/mitpress\/1090.001.0001"},{"issue":"2","key":"1355_CR2","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1177\/003754970107600201","volume":"76","author":"ZW Geem","year":"2001","unstructured":"Geem ZW, Kim JH, Loganathan GV (2001) A new heuristic optimization algorithm: harmony search. Simulation 76(2):60\u201368","journal-title":"Simulation"},{"issue":"1","key":"1355_CR3","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1109\/3477.484436","volume":"26","author":"M Dorigo","year":"1996","unstructured":"Dorigo M, Maniezzo V, Colorni A (1996) Ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 26(1):29\u201341","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)"},{"key":"1355_CR4","doi-asserted-by":"crossref","unstructured":"Kennedy J (2011) Particle swarm optimization. In Encyclopedia of machine learning, pp. 760\u2013766. Springer US","DOI":"10.1007\/978-0-387-30164-8_630"},{"key":"1355_CR5","unstructured":"Karaboga D (2005) An idea based on honey bee swarm for numerical optimization. Technical report-tr06, Erciyes university, engineering faculty, computer engineering department 200"},{"issue":"1","key":"1355_CR6","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/s00521-013-1367-1","volume":"24","author":"X-S Yang","year":"2014","unstructured":"Yang X-S, Deb S (2014) Cuckoo search: recent advances and applications. Neural Comput & Applic 24(1):169\u2013174","journal-title":"Neural Comput & Applic"},{"key":"1355_CR7","doi-asserted-by":"crossref","unstructured":"Mallick A, Roy S, Chaudhuri SS, Roy S (2014) Study of parametric optimization of the Cuckoo Search algorithm. In: Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on, pp. 767\u2013772. IEEE","DOI":"10.1109\/CIEC.2014.6959194"},{"key":"1355_CR8","doi-asserted-by":"crossref","unstructured":"Civicioglu P, Besdok E (2014) Comparative analysis of the cuckoo search algorithm. Cuckoo Search and Firefly Algorithm. Springer International Publishing, pp. 85\u2013113","DOI":"10.1007\/978-3-319-02141-6_5"},{"issue":"1","key":"1355_CR9","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/s00500-014-1502-7","volume":"20","author":"G-G Wang","year":"2016","unstructured":"Wang G-G et al (2016) Hybridizing harmony search algorithm with cuckoo search for global numerical optimization. Soft Comput 20(1):273\u2013285","journal-title":"Soft Comput"},{"issue":"7\u20138","key":"1355_CR10","doi-asserted-by":"publisher","first-page":"1659","DOI":"10.1007\/s00521-013-1402-2","volume":"24","author":"A Ouaarab","year":"2014","unstructured":"Ouaarab A, Ahiod B, Yang X-S (2014) Discrete cuckoo search algorithm for the travelling salesman problem. Neural Comput & Applic 24(7\u20138):1659\u20131669","journal-title":"Neural Comput & Applic"},{"key":"1355_CR11","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.swevo.2016.02.001","volume":"28","author":"A Majumder","year":"2016","unstructured":"Majumder A, Laha D (2016) A new cuckoo search algorithm for 2-machine robotic cell scheduling problem with sequence-dependent setup times. Swarm and Evolutionary Computation 28:131\u2013143","journal-title":"Swarm and Evolutionary Computation"},{"issue":"4","key":"1355_CR12","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1504\/IJBIC.2012.048063","volume":"4","author":"A Gherboudj","year":"2014","unstructured":"Gherboudj A, Layeb A, Chikhi S (2014) Solving 0-1 knapsack problems by a discrete binary version of cuckoo search algorithm. International Journal of Bio-Inspired Computation 4(4):229\u2013236","journal-title":"International Journal of Bio-Inspired Computation"},{"key":"1355_CR13","unstructured":"Jati GK, Manurung HM (2012) Discrete cuckoo search for traveling salesman problem. Computing and Convergence Technology (ICCCT), 2012 7th International Conference on. IEEE, pp. 993\u2013997"},{"issue":"2","key":"1355_CR14","doi-asserted-by":"publisher","first-page":"76","DOI":"10.5815\/ijisa.2013.02.09","volume":"5","author":"K Khan","year":"2013","unstructured":"Khan K, Sahai A (2013) Neural-based cuckoo search of employee health and safety (hs). International Journal of Intelligent Systems and Applications 5(2):76","journal-title":"International Journal of Intelligent Systems and Applications"},{"key":"1355_CR15","unstructured":"Lin JH, Lee IH (2012) Emotional chaotic cuckoo search for the reconstruction of chaotic dynamics. In source: 11th WSEAS Int. Conf. on COmputational Intelligence, Man-Machine Systems and Cybernetics (CIMMACS'12), pp. 123\u2013128"},{"key":"1355_CR16","doi-asserted-by":"crossref","unstructured":"Nawi NM, Khan A, Rehman MZ (2013) A new cuckoo search based Levenberg-Marquardt (CSLM) algorithm. International Conference on Computational Science and Its Applications. Springer Berlin Heidelberg, pp. 438\u2013451","DOI":"10.1007\/978-3-642-39637-3_35"},{"key":"1355_CR17","unstructured":"Subotic M, et al (2012) Parallelized cuckoo search algorithm for unconstrained optimization. Proceedings of the 5th WSEAS congress on Applied Computing conference, and Proceedings of the 1st international conference on Biologically Inspired Computation. World Scientific and Engineering Academy and Society (WSEAS), pp. 151\u2013156"},{"key":"1355_CR18","unstructured":"Tuba M, Subotic M, Stanarevic N (2011) Modified cuckoo search algorithm for unconstrained optimization problems. Proceedings of the 5th European conference on European computing conference. World Scientific and Engineering Academy and Society (WSEAS), pp. 263\u2013268"},{"issue":"9","key":"1355_CR19","doi-asserted-by":"publisher","first-page":"710","DOI":"10.1016\/j.chaos.2011.06.004","volume":"44","author":"S Walton","year":"2011","unstructured":"Walton S, Hassan O, Morgan K, Brown MR (2011) Modified cuckoo search: a new gradient free optimisation algorithm. Chaos, Solitons Fractals 44(9):710\u2013718","journal-title":"Chaos, Solitons Fractals"},{"issue":"2","key":"1355_CR20","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1504\/IJCAT.2012.048675","volume":"44","author":"Y Zhang","year":"2012","unstructured":"Zhang Y, Wang L, Wu Q (2012) Modified Adaptive Cuckoo Search (MACS) algorithm and formal description for global optimisation. Int J Comput Appl Technol 44(2):73\u201379","journal-title":"Int J Comput Appl Technol"},{"issue":"6","key":"1355_CR21","doi-asserted-by":"publisher","first-page":"1616","DOI":"10.1016\/j.cor.2011.09.026","volume":"40","author":"X-S Yang","year":"2013","unstructured":"Yang X-S, Deb S (2013) Multiobjective cuckoo search for design optimization. Comput Oper Res 40(6):1616\u20131624","journal-title":"Comput Oper Res"},{"key":"1355_CR22","doi-asserted-by":"crossref","unstructured":"Zhou Y, Zheng H (2013) A novel complex valued cuckoo search algorithm. The Scientific World Journal 2013","DOI":"10.1155\/2013\/597803"},{"issue":"10","key":"1355_CR23","first-page":"4193","volume":"8","author":"H Zheng","year":"2012","unstructured":"Zheng H, Zhou Y (2012) A novel cuckoo search optimization algorithm based on Gauss distribution. J Comput Inf Syst 8(10):4193\u20134200","journal-title":"J Comput Inf Syst"},{"issue":"5","key":"1355_CR24","doi-asserted-by":"publisher","first-page":"3860","DOI":"10.1016\/j.apm.2015.10.052","volume":"40","author":"L Huang","year":"2016","unstructured":"Huang L, Dung S, Yu S, Wang J, Lul K (2016) Chaos-enhanced Cuckoo search optimization algorithms for global optimization. Appl Math Model 40(5):3860\u20133875","journal-title":"Appl Math Model"},{"issue":"4","key":"1355_CR25","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1016\/j.jestch.2015.04.005","volume":"18","author":"M Balasubbareddy","year":"2015","unstructured":"Balasubbareddy M, Sivanagaraju S, Suresh CV (2015) Multi-objective optimization in the presence of practical constraints using non-dominated sorting hybrid cuckoo search algorithm. Engineering Science and Technology, an International Journal 18(4):603\u2013615","journal-title":"Engineering Science and Technology, an International Journal"},{"key":"1355_CR26","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1016\/j.asoc.2016.09.048","volume":"52","author":"H Rakhshani","year":"2016","unstructured":"Rakhshani H, Rahati A (2016) Snap-Drift Cuckoo Search: A novel cuckoo search optimization algorithm. Appl Soft Comput 52:771\u2013794","journal-title":"Appl Soft Comput"},{"key":"1355_CR27","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.asoc.2015.04.020","volume":"33","author":"S Mahmoudi","year":"2015","unstructured":"Mahmoudi S, Lotfi S (2015) Modified cuckoo optimization algorithm (MCOA) to solve graph coloring problem. Appl Soft Comput 33:48\u201364","journal-title":"Appl Soft Comput"},{"key":"1355_CR28","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.swevo.2016.03.001","volume":"29","author":"IF Mlakar Uros Jr","year":"2016","unstructured":"Mlakar Uros IF Jr, Fister I (2016) Hybrid self-adaptive cuckoo search for global optimization. Swarm and Evolutionary Computation 29:47\u201372","journal-title":"Swarm and Evolutionary Computation"},{"key":"1355_CR29","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.enconman.2015.05.009","volume":"101","author":"Z Wang","year":"2015","unstructured":"Wang Z, Li Y (2015) Irreversibility analysis for optimization design of plate fin heat exchangers using a multi-objective cuckoo search algorithm. Energy Convers Manag 101:126\u2013135","journal-title":"Energy Convers Manag"},{"key":"1355_CR30","unstructured":"Devabalaji KR, Yuvaraj T, Ravi K (2016) An efficient method for solving the optimal sitting and sizing problem of capacitor banks based on cuckoo search algorithm. Ain Shams Engineering Journal"},{"issue":"7","key":"1355_CR31","doi-asserted-by":"publisher","first-page":"3538","DOI":"10.1016\/j.eswa.2013.10.059","volume":"41","author":"AK Bhandari","year":"2014","unstructured":"Bhandari AK et al (2014) Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur\u2019s entropy. Expert Syst Appl 41(7):3538\u20133560","journal-title":"Expert Syst Appl"},{"key":"1355_CR32","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.asoc.2015.12.008","volume":"41","author":"E Amiri","year":"2016","unstructured":"Amiri E, Mahmoudi S (2016) Efficient protocol for data clustering by fuzzy Cuckoo Optimization Algorithm. Appl Soft Comput 41:15\u201321","journal-title":"Appl Soft Comput"},{"key":"1355_CR33","doi-asserted-by":"publisher","first-page":"1711","DOI":"10.1016\/j.energy.2015.10.006","volume":"93","author":"MA Mellal","year":"2015","unstructured":"Mellal MA, Williams EJ (2015) Cuckoo optimization algorithm with penalty function for combined heat and power economic dispatch problem. Energy 93:1711\u20131718","journal-title":"Energy"},{"key":"1355_CR34","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.ijepes.2016.02.026","volume":"81","author":"TT Nguyen","year":"2016","unstructured":"Nguyen TT, Vo DN, Dinh BH (2016) Cuckoo search algorithm for combined heat and power economic dispatch. Int J Electr Power Energy Syst 81:204\u2013214","journal-title":"Int J Electr Power Energy Syst"},{"key":"1355_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.renene.2016.04.069","volume":"96","author":"S Sanajaoba","year":"2016","unstructured":"Sanajaoba S, Fernandez E (2016) Maiden application of Cuckoo Search algorithm for optimal sizing of a remote hybrid renewable energy System. Renew Energy 96:1\u201310","journal-title":"Renew Energy"},{"key":"1355_CR36","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1016\/j.ijepes.2016.01.023","volume":"80","author":"SM Abd-Elazim","year":"2016","unstructured":"Abd-Elazim SM, Ali ES (2016) Optimal location of STATCOM in multimachine power system for increasing loadability by Cuckoo Search algorithm. Int J Electr Power Energy Syst 80:240\u2013251","journal-title":"Int J Electr Power Energy Syst"},{"key":"1355_CR37","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.asoc.2015.07.031","volume":"36","author":"J Huang","year":"2015","unstructured":"Huang J, Gao L, Li X (2015) An effective teaching-learning-based cuckoo search algorithm for parameter optimization problems in structure designing and machining processes. Appl Soft Comput 36:349\u2013356","journal-title":"Appl Soft Comput"},{"issue":"1","key":"1355_CR38","doi-asserted-by":"publisher","first-page":"1032","DOI":"10.1016\/j.applthermaleng.2014.08.061","volume":"73","author":"M Asadi","year":"2014","unstructured":"Asadi M, Song Y, Sunden B, Xie G (2014) Economic optimization design of shell-and-tube heat exchangers by a cuckoo-search-algorithm. Appl Therm Eng 73(1):1032\u20131040","journal-title":"Appl Therm Eng"},{"key":"1355_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cose.2014.09.002","volume":"48","author":"M Zineddine","year":"2015","unstructured":"Zineddine M (2015) Vulnerabilities and mitigation techniques toning in the cloud: A cost and vulnerabilities coverage optimization approach using Cuckoo search algorithm with L\u00e9vy flights. Computers & Security 48:1\u201318","journal-title":"Computers & Security"},{"key":"1355_CR40","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.saa.2014.04.084","volume":"131","author":"M Khajeh","year":"2014","unstructured":"Khajeh M, Golzary AR (2014) Synthesis of zinc oxide nanoparticles\u2013chitosan for extraction of methyl orange from water samples: Cuckoo optimization algorithm\u2013artificial neural network. Spectrochim Acta A Mol Biomol Spectrosc 131:189\u2013194","journal-title":"Spectrochim Acta A Mol Biomol Spectrosc"},{"key":"1355_CR41","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.ins.2014.11.042","volume":"298","author":"X Li","year":"2015","unstructured":"Li X, Yin M (2015) Modified cuckoo search algorithm with self-adaptive parameter method. Inf Sci 298:80\u201397","journal-title":"Inf Sci"},{"key":"1355_CR42","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1016\/j.pisc.2016.04.098","volume":"8","author":"M Din","year":"2016","unstructured":"Din M, Pal SK, Muttoo SK, Anjali J (2016) Applying Cuckoo Search for analysis of LFSR based cryptosystem. Perspect Sci 8:435\u2013439","journal-title":"Perspect Sci"},{"issue":"1","key":"1355_CR43","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/s12065-013-0102-2","volume":"7","author":"X-S Yang","year":"2014","unstructured":"Yang X-S (2014) Swarm intelligence based algorithms: a critical analysis. Evol Intel 7(1):17\u201328","journal-title":"Evol Intel"},{"key":"1355_CR44","doi-asserted-by":"crossref","unstructured":"Qin AK, Li X (2013) Differential evolution on the CEC-2013 single-objective continuous optimization testbed.\" Evolutionary Computation (CEC), 2013 IEEE Congress on. IEEE","DOI":"10.1109\/CEC.2013.6557689"},{"issue":"3","key":"1355_CR45","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1109\/TEVC.2011.2161091","volume":"16","author":"AYS Lam","year":"2012","unstructured":"Lam AYS, Li VOK, James JQ (2012) Real-coded chemical reaction optimization. IEEE Trans Evol Comput 16(3):339\u2013353","journal-title":"IEEE Trans Evol Comput"},{"key":"1355_CR46","unstructured":"Price, Kenneth, Rainer M. Storn, and Jouni A. Lampinen (2006) Differential evolution: a practical approach to global optimization. Springer Science & Business Media"},{"issue":"2","key":"1355_CR47","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1109\/TEVC.2011.2173577","volume":"17","author":"W-N Chen","year":"2013","unstructured":"Chen W-N, Zhang J, Lin Y, Chen N, Zhan Z-H, Chung HS-H, Li Y, Shi Y-H (2013) Particle swarm optimization with an aging leader and challengers. IEEE Trans Evol Comput 17(2):241\u2013258","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"1355_CR48","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1109\/TEVC.2008.927706","volume":"13","author":"AK Qin","year":"2009","unstructured":"Qin AK, Huang VL, Suganthan PN (2009) Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Trans Evol Comput 13(2):398\u2013417","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"1355_CR49","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1109\/TEVC.2008.924428","volume":"13","author":"JA Vrugt","year":"2009","unstructured":"Vrugt JA, Robinson BA, Hyman JM (2009) Self-adaptive multimethod search for global optimization in real-parameter spaces. IEEE Trans Evol Comput 13(2):243\u2013259","journal-title":"IEEE Trans Evol Comput"},{"key":"1355_CR50","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1016\/j.asoc.2017.05.060","volume":"59","author":"P Mohapatra","year":"2017","unstructured":"Mohapatra P, Das KN, Roy S (2017) A modified competitive swarm optimizer for large scale optimization problems. Appl Soft Comput 59:340\u2013362","journal-title":"Appl Soft Comput"},{"issue":"2","key":"1355_CR51","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":"1355_CR52","unstructured":"Yang Z, Tang K, Yao X (2008) Multilevel cooperative coevolution for large scale optimization. Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on. IEEE"},{"key":"1355_CR53","doi-asserted-by":"crossref","unstructured":"Ros R, Hansen N (2008) A simple modification in CMA-ES achieving linear time and space complexity. International Conference on Parallel Problem Solving from Nature. Springer, Berlin","DOI":"10.1007\/978-3-540-87700-4_30"},{"key":"1355_CR54","unstructured":"Hsieh ST, Sun TY, Liu CC, Tsai SJ (2008) Solving large scale global optimization using improved particle swarm optimizer. In Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on (pp. 1777\u20131784). IEEE"},{"key":"1355_CR55","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1016\/j.ins.2014.09.031","volume":"316","author":"A LaTorre","year":"2015","unstructured":"LaTorre A, Muelas S, Pe\u00f1a J-M (2015) A comprehensive comparison of large scale global optimizers. Inf Sci 316:517\u2013549","journal-title":"Inf Sci"},{"key":"1355_CR56","unstructured":"Tang K, Y\u00e1o X, Suganthan PN, MacNish C, Chen YP, Chen CM, Yang Z (2007) Benchmark functions for the CEC\u20192008 special session and competition on large scale global optimization. Nature Inspired Computation and Applications Laboratory, USTC, China, 24"},{"issue":"33","key":"1355_CR57","first-page":"8","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):8","journal-title":"Gene"},{"key":"1355_CR58","doi-asserted-by":"crossref","unstructured":"LaTorre A, Muelas S, Pe\u00f1a J-M (2013) Large scale global optimization: Experimental results with mos-based hybrid algorithms. Evolutionary Computation (CEC), 2013 IEEE Congress on. IEEE","DOI":"10.1109\/CEC.2013.6557901"},{"key":"1355_CR59","doi-asserted-by":"crossref","unstructured":"Liu J, Tang K (2013) Scaling up covariance matrix adaptation evolution strategy using cooperative coevolution. International Conference on Intelligent Data Engineering and Automated Learning. Springer, Berlin","DOI":"10.1007\/978-3-642-41278-3_43"},{"issue":"11","key":"1355_CR60","doi-asserted-by":"publisher","first-page":"2187","DOI":"10.1007\/s00500-010-0646-3","volume":"15","author":"A LaTorre","year":"2011","unstructured":"LaTorre A, Muelas S, Pe\u00f1a J-M (2011) A MOS-based dynamic memetic differential evolution algorithm for continuous optimization: a scalability test. Soft Comput 15(11):2187\u20132199","journal-title":"Soft Comput"},{"issue":"11","key":"1355_CR61","doi-asserted-by":"publisher","first-page":"2141","DOI":"10.1007\/s00500-010-0643-6","volume":"15","author":"Z Yang","year":"2011","unstructured":"Yang Z, Tang K, Yao X (2011) Scalability of generalized adaptive differential evolution for large-scale continuous optimization. Soft Comput 15(11):2141\u20132155","journal-title":"Soft Comput"},{"issue":"2","key":"1355_CR62","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/S0166-3615(99)00046-9","volume":"41","author":"CA Coello","year":"2000","unstructured":"Coello CA (2000) Use of a self-adaptive penalty approach for engineering optimization problems. Comput Ind 41(2):113\u2013127","journal-title":"Comput Ind"},{"issue":"1","key":"1355_CR63","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.engappai.2006.03.003","volume":"20","author":"Q He","year":"2007","unstructured":"He Q, Wang L (2007) An effective co-evolutionary particle swarm optimization for constrained engineering design problems. Eng Appl Artif Intell 20(1):89\u201399","journal-title":"Eng Appl Artif Intell"},{"issue":"4","key":"1355_CR64","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1080\/03081070701303470","volume":"37","author":"E Mezura-Montes","year":"2008","unstructured":"Mezura-Montes E, Coello CA (2008) An empirical study about the usefulness of evolution strategies to solve constrained optimization problems. Int J Gen Syst 37(4):443\u2013473","journal-title":"Int J Gen Syst"},{"issue":"2","key":"1355_CR65","doi-asserted-by":"crossref","first-page":"1567","DOI":"10.1016\/j.amc.2006.11.033","volume":"188","author":"M Mahdavi","year":"2007","unstructured":"Mahdavi M, Fesanghary M, Damangir E (2007) An improved harmony search algorithm for solving optimization problems. Appl Math Comput 188(2):1567\u20131579","journal-title":"Appl Math Comput"},{"key":"1355_CR66","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.knosys.2015.07.006","volume":"89","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili S (2015) Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm. Knowl-Based Syst 89:228\u2013249","journal-title":"Knowl-Based Syst"},{"issue":"7","key":"1355_CR67","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1016\/j.compstruc.2006.11.020","volume":"85","author":"LJ Li","year":"2007","unstructured":"Li LJ, Huang ZB, Liu F, Wu QH (2007) A heuristic particle swarm optimizer for optimization of pin connected structures. Comput Struct 85(7):340\u2013349","journal-title":"Comput Struct"},{"key":"1355_CR68","doi-asserted-by":"crossref","unstructured":"Arora JS (2004) Introduction to optimum design. Elsevier","DOI":"10.1016\/B978-012064155-0\/50004-5"},{"key":"1355_CR69","unstructured":"Belegundu AD (1983) Study of mathematical programming methods for structural optimization. Dissertation Abstracts International Part B: Science and Engineering [DISS. ABST INT PT B- SCI & ENG], Volume 43, Issue 12"},{"key":"1355_CR70","unstructured":"Yang XS (2011) Nature-inspired metaheuristic algorithms, Luniver Press"},{"issue":"13","key":"1355_CR71","doi-asserted-by":"publisher","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","volume":"179","author":"E Rashedi","year":"2009","unstructured":"Rashedi E, Nezamabadi-Pour H, Saryazdi S (2009) GSA: a gravitational search algorithm. Inf Sci 179(13):2232\u20132248","journal-title":"Inf Sci"},{"key":"1355_CR72","doi-asserted-by":"publisher","first-page":"3880","DOI":"10.1016\/j.eswa.2008.02.039","volume":"36","author":"E Zahara","year":"2009","unstructured":"Zahara E, Kao YT (2009) Hybrid Nelder-Mead simplex search and particle swarm optimization for constrained engineering design problems. Expert Syst Appl 36:3880\u20133886","journal-title":"Expert Syst Appl"},{"key":"1355_CR73","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.advengsoft.2015.11.004","volume":"92","author":"MD Li","year":"2016","unstructured":"Li MD, Zhao H, Weng XW, Han T (2016) A novel nature-inspired algorithm for optimization: Virus colony search. Adv Eng Softw 92:65\u201388","journal-title":"Adv Eng Softw"},{"issue":"4","key":"1355_CR74","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1504\/IJMMNO.2010.035430","volume":"1","author":"X-S Yang","year":"2010","unstructured":"Yang X-S, Deb S (2010) Engineering optimisation by cuckoo search. International Journal of Mathematical Modelling and Numerical Optimisation 1(4):330\u2013343","journal-title":"International Journal of Mathematical Modelling and Numerical Optimisation"},{"key":"1355_CR75","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Lewis A (2016) The whale optimization algorithm. Adv Eng Softw 95:51\u201367","journal-title":"Adv Eng Softw"},{"key":"1355_CR76","doi-asserted-by":"crossref","unstructured":"Zheng H, Zhou Y (2013) A cooperative coevolutionary cuckoo search algorithm for optimization problem. Journal of Applied Mathematics 2013","DOI":"10.1155\/2013\/912056"},{"key":"1355_CR77","doi-asserted-by":"crossref","unstructured":"Qu C, He W (2016) A cuckoo search algorithm with complex local search method for solving engineering structural optimization problem. MATEC Web of Conferences. Vol. 40. EDP Sciences","DOI":"10.1051\/matecconf\/20164009009"},{"key":"1355_CR78","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.amc.2013.12.178","volume":"231","author":"T-J Hsieh","year":"2014","unstructured":"Hsieh T-J (2014) A bacterial gene recombination algorithm for solving constrained optimization problems. Appl Math Comput 231:187\u2013204","journal-title":"Appl Math Comput"},{"key":"1355_CR79","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1016\/j.enconman.2013.12.028","volume":"79","author":"H Shayeghi","year":"2014","unstructured":"Shayeghi H, Ghasemi A (2014) A modified artificial bee colony based on chaos theory for solving non-convex emission\/economic dispatch. Energy Convers Manag 79:344\u2013354","journal-title":"Energy Convers Manag"},{"key":"1355_CR80","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.knosys.2015.12.022","volume":"96","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S (2016) SCA: A Sine Cosine Algorithm for solving optimization problems. Knowl-Based Syst 96:120\u2013133","journal-title":"Knowl-Based Syst"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-018-1355-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-018-1355-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-018-1355-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,9]],"date-time":"2022-09-09T13:08:32Z","timestamp":1662728912000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-018-1355-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,2]]},"references-count":80,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2019,6]]}},"alternative-id":["1355"],"URL":"https:\/\/doi.org\/10.1007\/s10489-018-1355-3","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,2]]},"assertion":[{"value":"2 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}