{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T18:20:32Z","timestamp":1780424432081,"version":"3.54.1"},"reference-count":142,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2019,12,18]],"date-time":"2019-12-18T00:00:00Z","timestamp":1576627200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,12,18]],"date-time":"2019-12-18T00:00:00Z","timestamp":1576627200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1007\/s13042-019-01053-x","type":"journal-article","created":{"date-parts":[[2019,12,18]],"date-time":"2019-12-18T11:14:07Z","timestamp":1576667647000},"page":"1501-1529","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":449,"title":["Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm"],"prefix":"10.1007","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5895-2632","authenticated-orcid":false,"given":"Ali Wagdy","family":"Mohamed","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anas A.","family":"Hadi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9202-244X","authenticated-orcid":false,"given":"Ali Khater","family":"Mohamed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,12,18]]},"reference":[{"key":"1053_CR1","doi-asserted-by":"crossref","DOI":"10.1002\/9780470496916","volume-title":"Metaheuristics : from design to implementation","author":"E-G Talbi","year":"2009","unstructured":"Talbi E-G (2009) Metaheuristics : from design to implementation. Wiley, New York"},{"issue":"5","key":"1053_CR2","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/0305-0548(86)90048-1","volume":"13","author":"F Glover","year":"1986","unstructured":"Glover F (1986) Future paths for integer programming and links to artificial intelligence. Comput Oper Res 13(5):533\u2013549","journal-title":"Comput Oper Res"},{"issue":"3","key":"1053_CR3","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1145\/937503.937505","volume":"35","author":"C Blum","year":"2003","unstructured":"Blum C, Roli A (2003) Metaheuristics in combinatorial optimization. ACM Comput Surv 35(3):268\u2013308","journal-title":"ACM Comput Surv"},{"key":"1053_CR4","unstructured":"Fogel LJ, Owens AJ, Walsh MJ (1966) Artificial intelligence through simulated evolution. Wiley"},{"key":"1053_CR5","unstructured":"Rechenberg I (1994) Evolutionsstrategie: optimierung technischer systeme nach prinzipien der biologischen evolution. Frommann-holzbog, Stuttgart, 1973"},{"key":"1053_CR6","unstructured":"Holland J (1975) Adaptation in natural and artificial systems : an introductory analysis with application to biology. Control and artificial intelligence, University of Michigan Press. https:\/\/ci.nii.ac.jp\/naid\/10019844035\/en\/"},{"issue":"1\u20133","key":"1053_CR7","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/0167-2789(90)90076-2","volume":"42","author":"WD Hillis","year":"1990","unstructured":"Hillis WD (1990) Co-evolving parasites improve simulated evolution as an optimization procedure. Phys D Nonlinear Phenom 42(1\u20133):228\u2013234","journal-title":"Phys D Nonlinear Phenom"},{"key":"1053_CR8","unstructured":"Reynolds RG (1994) An introduction to cultural algorithms. In: Proceedings of the 3rd annual conference on evolutionary programming. World Scienfific Publishing, pp 131\u2013139"},{"issue":"2","key":"1053_CR9","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/BF00175355","volume":"4","author":"J Koza","year":"1994","unstructured":"Koza J (1994) Genetic programming as a means for programming computers by natural selection. Stat Comput 4(2):87\u2013112","journal-title":"Stat Comput"},{"key":"1053_CR10","first-page":"178","volume-title":"From recombination of genes to the estimation of distributions I. Binary parameters","author":"H M\u00fchlenbein","year":"1996","unstructured":"M\u00fchlenbein H, Paa\u00df G (1996) From recombination of genes to the estimation of distributions I. Binary parameters. Springer, Berlin, pp 178\u2013187"},{"issue":"4","key":"1053_CR11","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential evolution\u2014a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341\u2013359","journal-title":"J Glob Optim"},{"key":"1053_CR12","first-page":"83","volume-title":"Grammatical evolution: evolving programs for an arbitrary language","author":"C Ryan","year":"1998","unstructured":"Ryan C, Collins J, Neill MO (1998) Grammatical evolution: evolving programs for an arbitrary language. Springer, Berlin, pp 83\u201396"},{"key":"1053_CR13","doi-asserted-by":"crossref","unstructured":"Ferreira C (2002) Gene expression programming in problem solving. In: Soft computing and industry. Springer London, pp 635\u2013653","DOI":"10.1007\/978-1-4471-0123-9_54"},{"issue":"6","key":"1053_CR14","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1109\/TEVC.2002.804320","volume":"6","author":"K-H Han","year":"2002","unstructured":"Han K-H, Kim J-H (2002) Quantum-inspired evolutionary algorithm for a class of combinatorial optimization. IEEE Trans Evol Comput 6(6):580\u2013593","journal-title":"IEEE Trans Evol Comput"},{"key":"1053_CR15","first-page":"4661","volume":"2007","author":"E Atashpaz-Gargari","year":"2007","unstructured":"Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. IEEE Congr Evol Comput 2007:4661\u20134667","journal-title":"IEEE Congr Evol Comput"},{"key":"1053_CR16","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.cageo.2011.12.011","volume":"46","author":"P Civicioglu","year":"2012","unstructured":"Civicioglu P (2012) Transforming geocentric cartesian coordinates to geodetic coordinates by using differential search algorithm. Comput Geosci 46:229\u2013247","journal-title":"Comput Geosci"},{"issue":"15","key":"1053_CR17","doi-asserted-by":"crossref","first-page":"8121","DOI":"10.1016\/j.amc.2013.02.017","volume":"219","author":"P Civicioglu","year":"2013","unstructured":"Civicioglu P (2013) Backtracking search optimization algorithm for numerical optimization problems. Appl Math Comput 219(15):8121\u20138144","journal-title":"Appl Math Comput"},{"key":"1053_CR18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.knosys.2014.07.025","volume":"75","author":"H Salimi","year":"2015","unstructured":"Salimi H (2015) Stochastic fractal search: a powerful metaheuristic algorithm. Knowl Based Syst 75:1\u201318","journal-title":"Knowl Based Syst"},{"issue":"7","key":"1053_CR19","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1631\/FITEE.1601553","volume":"19","author":"TT Dhivyaprabha","year":"2018","unstructured":"Dhivyaprabha TT, Subashini P, Krishnaveni M (2018) Synergistic fibroblast optimization: a novel nature-inspired computing algorithm. Front Inf Technol Electron Eng 19(7):815\u2013833","journal-title":"Front Inf Technol Electron Eng"},{"key":"1053_CR20","unstructured":"Moscato P (1989) On evolution, search, optimization, genetic algorithms and martial arts-towards memetic algorithms"},{"issue":"1","key":"1053_CR21","doi-asserted-by":"crossref","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 Trans Syst Man Cybern Part B 26(1):29\u201341","journal-title":"IEEE Trans Syst Man Cybern Part B"},{"key":"1053_CR22","doi-asserted-by":"crossref","unstructured":"Eberhart R, Kennedy J (1995) A new optimizer using particle swarm theory. In: MHS\u201995. Proceedings of the sixth international symposium on micro machine and human science, pp 39\u201343","DOI":"10.1109\/MHS.1995.494215"},{"key":"1053_CR23","doi-asserted-by":"publisher","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks, IV, pp 1942\u20131948. https:\/\/doi.org\/10.1109\/ICNN.1995.488968","DOI":"10.1109\/ICNN.1995.488968"},{"key":"1053_CR24","unstructured":"Kennedy J, Eberhart RC (1997) A discrete binary version of the particle swarm algorithm. In: 1997 IEEE international conference on systems, man, and cybernetics. Computational cybernetics and simulation, vol 5, pp 4104\u20134108"},{"key":"1053_CR25","volume-title":"Artificial immune systems: a new computational approach","author":"LN de Castro","year":"2002","unstructured":"de Castro LN, Timmis J (2002) Artificial immune systems: a new computational approach. Springer-Verlag, London, UK"},{"key":"1053_CR26","unstructured":"de Castro LN, Von Zuben FJ (1999) Artificial immune systems: part I -basic theory and applications. School of Computing and Electrical Engineering, State University of Campinas, Brazil, No. DCA-RT 01\/99"},{"key":"1053_CR27","first-page":"167","volume-title":"SOMA\u2014self-organizing migrating algorithm","author":"I Zelinka","year":"2004","unstructured":"Zelinka I (2004) SOMA\u2014self-organizing migrating algorithm. Springer, Berlin, pp 167\u2013217"},{"key":"1053_CR28","unstructured":"Abbass HA (2001) MBO: marriage in honey bees optimization\u2014a haplometrosis polygynous swarming approach"},{"issue":"11","key":"1053_CR29","first-page":"32","volume":"22","author":"X Li","year":"2002","unstructured":"Li X (2002) An optimizing method based on autonomous animats: Fish-swarm algorithm. Syst Eng Pract 22(11):32\u201338","journal-title":"Syst Eng Pract"},{"issue":"3","key":"1053_CR30","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/MCS.2002.1004010","volume":"22","author":"KM Passino","year":"2002","unstructured":"Passino KM (2002) Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Syst. 22(3):52\u201367","journal-title":"IEEE Control Syst."},{"key":"1053_CR31","unstructured":"Gordon N, Wagner IA, Bruckstein AM (2003) Discrete Bee dance algorithm for pattern formation on a grid. In: IEEE\/WIC int. conf. intell. agent technol. IAT 2003, pp 545\u2013549"},{"issue":"03","key":"1053_CR32","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1142\/S0218213003001289","volume":"12","author":"P Lu\u010di\u0107","year":"2003","unstructured":"Lu\u010di\u0107 P, Teodorovi\u0107 D (2003) Computing with bees: attacking complex transportation engineering problems. Int J Artif Intell Tools 12(03):375\u2013394","journal-title":"Int J Artif Intell Tools"},{"issue":"6","key":"1053_CR33","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1049\/el:20030383","volume":"39","author":"SH Jung","year":"2003","unstructured":"Jung SH (2003) Queen-bee evolution for genetic algorithms. Electron Lett 39(6):575\u2013576","journal-title":"Electron Lett"},{"issue":"3","key":"1053_CR34","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1061\/(ASCE)0733-9496(2003)129:3(210)","volume":"129","author":"MM Eusuff","year":"2003","unstructured":"Eusuff MM, Lansey KE (2003) Optimization of water distribution network design using the shuffled frog leaping algorithm. J Water Resour Plan Manag 129(3):210\u2013225","journal-title":"J Water Resour Plan Manag"},{"key":"1053_CR35","first-page":"83","volume-title":"BeeHive: an efficient fault-tolerant routing algorithm inspired by honey bee behavior","author":"HF Wedde","year":"2004","unstructured":"Wedde HF, Farooq M, Zhang Y (2004) BeeHive: an efficient fault-tolerant routing algorithm inspired by honey bee behavior. Springer, Berlin, pp 83\u201394"},{"key":"1053_CR36","unstructured":"Teodorovic D, Dell\u2019Orco M (2005) Bee colony optimization\u2013a cooperative learning approach to complex transportation problems. In: Proceedings of the 16th mini-EURO conference on advanced OR and AI methods in transportation, Poznan, pp 51\u201360"},{"key":"1053_CR37","first-page":"318","volume-title":"Cooperative bees swarm for solving the maximum weighted satisfiability problem","author":"H Drias","year":"2005","unstructured":"Drias H, Sadeg S, Yahi S (2005) Cooperative bees swarm for solving the maximum weighted satisfiability problem. Springer, Berlin, pp 318\u2013325"},{"key":"1053_CR38","unstructured":"Krishnanand KN, Ghose D (2005) Detection of multiple source locations using a glowworm metaphor with applications to collective robotics. In: Proceedings 2005 IEEE swarm intelligence symposium. SIS 2005, pp 84\u201391"},{"key":"1053_CR39","unstructured":"Karaboga D (2005) An idea based on honey bee swarm for numerical optimization. Technical report-tr06, vol 200. Erciyes university, engineering faculty, computer engineering department, pp 1\u201310"},{"key":"1053_CR40","first-page":"317","volume-title":"Engineering optimizations via nature-inspired virtual bee algorithms","author":"X-S Yang","year":"2005","unstructured":"Yang X-S (2005) Engineering optimizations via nature-inspired virtual bee algorithms. Springer, Berlin, pp 317\u2013323"},{"key":"1053_CR41","unstructured":"Ghanbarzadeh A, Ko\u00e7 E, Otri S, Rahim S, Zaidi M (2006) The bees algorithm\u2014a novel tool for complex optimisation problems. In: Intell. Prod. Mach. Syst, pp 454\u2013459"},{"key":"1053_CR42","first-page":"854","volume-title":"Cat swarm optimization","author":"S-C Chu","year":"2006","unstructured":"Chu S-C, Tsai P, Pan J-S (2006) Cat swarm optimization. Springer, Berlin, pp 854\u2013858"},{"issue":"4","key":"1053_CR43","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1016\/j.ecoinf.2006.07.003","volume":"1","author":"AR Mehrabian","year":"2006","unstructured":"Mehrabian AR, Lucas C (2006) A novel numerical optimization algorithm inspired from weed colonization. Ecol Inform 1(4):355\u2013366","journal-title":"Ecol Inform"},{"key":"1053_CR44","first-page":"155","volume-title":"Termite: a swarm intelligent routing algorithm for mobile wireless ad-hoc networks","author":"R Martin","year":"2006","unstructured":"Martin R, Stephen W (2006) Termite: a swarm intelligent routing algorithm for mobile wireless ad-hoc networks. Springer, Berlin, pp 155\u2013184"},{"key":"1053_CR45","first-page":"834","volume-title":"Application of virtual ant algorithms in the optimization of CFRP shear strengthened precracked structures","author":"X-S Yang","year":"2006","unstructured":"Yang X-S, Lees JM, Morley CT (2006) Application of virtual ant algorithms in the optimization of CFRP shear strengthened precracked structures. Springer, Berlin, pp 834\u2013837"},{"issue":"3","key":"1053_CR46","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Glob Optim 39(3):459\u2013471","journal-title":"J Glob Optim"},{"key":"1053_CR47","doi-asserted-by":"crossref","unstructured":"Chen T-C, Tsai P-W, Chu S-C, Pan J-S (2007) a novel optimization approach: bacterial-GA foraging. In: Second international conference on innovative computing, information and control (ICICIC 2007)","DOI":"10.1109\/ICICIC.2007.67"},{"key":"1053_CR48","doi-asserted-by":"crossref","unstructured":"Su S, Wang J, Fan W, Yin X (2007) Good lattice swarm algorithm for constrained engineering design optimization. In: 2007 International conference on wireless communications, networking and mobile computing, pp 6415\u20136418","DOI":"10.1109\/WICOM.2007.1575"},{"issue":"3","key":"1053_CR49","first-page":"165","volume":"2","author":"RQ Zhao","year":"2008","unstructured":"Zhao RQ, Tang WS (2008) Monkey algorithm for global numerical optimization. J Uncertain Syst 2(3):165\u2013176","journal-title":"J Uncertain Syst"},{"key":"1053_CR50","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2013.11.003","volume":"16","author":"SJ Nanda","year":"2014","unstructured":"Nanda SJ, Panda G (2014) A survey on nature inspired metaheuristic algorithms for partitional clustering. Swarm Evol Comput 16:1\u201318","journal-title":"Swarm Evol Comput"},{"issue":"6","key":"1053_CR51","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"},{"key":"1053_CR52","unstructured":"Chu Y, Mi H, Liao H, Ji Z, Wu QH (2008) A fast bacterial swarming algorithm for high-dimensional function optimization. In: 2008 IEEE congress on evolutionary computation (ieee world congress on computational intelligence), pp 3135\u20133140"},{"key":"1053_CR53","doi-asserted-by":"crossref","unstructured":"Bastos Filho CJA, de Lima Neto FB, Lins AJCC, Nascimento AIS, Lima MP (2008) A novel search algorithm based on fish school behavior. In: 2008 IEEE international conference on systems, man and cybernetics, pp 2646\u20132651","DOI":"10.1109\/ICSMC.2008.4811695"},{"key":"1053_CR54","doi-asserted-by":"crossref","unstructured":"Havens TC, Spain CJ, Salmon NG, Keller JM (2008) Roach infestation optimization. In: 2008 IEEE swarm intelligence symposium, pp 1\u20137","DOI":"10.1109\/SIS.2008.4668317"},{"key":"1053_CR55","doi-asserted-by":"crossref","unstructured":"Comellas F, Martinez-Navarro J (2009) Bumblebees. In: Proceedings of the first ACM\/SIGEVO summit on genetic and evolutionary computation\u2014GEC\u201909, p 811","DOI":"10.1145\/1543834.1543949"},{"key":"1053_CR56","unstructured":"Yang X-S, Deb S (2009) Cuckoo search via L\u00e9vy flights. In: 2009 world congress on nature & biologically inspired computing (NaBIC), pp 210\u2013214"},{"issue":"5","key":"1053_CR57","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1109\/TEVC.2009.2011992","volume":"13","author":"S He","year":"2009","unstructured":"He S, Wu QH, Saunders JR (2009) Group search optimizer: an optimization algorithm inspired by animal searching behavior. IEEE Trans Evol Comput 13(5):973\u2013990","journal-title":"IEEE Trans Evol Comput"},{"key":"1053_CR58","doi-asserted-by":"crossref","unstructured":"Premaratne U, Samarabandu J, Sidhu T (2009) A new biologically inspired optimization algorithm. In: 2009 international conference on industrial and information systems (ICIIS), 2009, pp. 279\u2013284","DOI":"10.1109\/ICIINFS.2009.5429852"},{"key":"1053_CR59","first-page":"65","volume-title":"A new metaheuristic bat-inspired algorithm","author":"X-S Yang","year":"2010","unstructured":"Yang X-S (2010) A new metaheuristic bat-inspired algorithm. Springer, Berlin, pp 65\u201374"},{"key":"1053_CR60","doi-asserted-by":"crossref","unstructured":"Iordache S (2010) Consultant-guided search. In: Proceedings of the 12th annual conference on genetic and evolutionary computation\u2014GECCO\u201910, p 225","DOI":"10.1145\/1830483.1830526"},{"key":"1053_CR61","first-page":"101","volume-title":"Eagle strategy using L\u00e9vy walk and firefly algorithms for stochastic optimization","author":"X-S Yang","year":"2010","unstructured":"Yang X-S, Deb S (2010) Eagle strategy using L\u00e9vy walk and firefly algorithms for stochastic optimization. Springer, Berlin, pp 101\u2013111"},{"issue":"2","key":"1053_CR62","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1504\/IJBIC.2010.032124","volume":"2","author":"XS Yang","year":"2010","unstructured":"Yang XS (2010) Firefly algorithm, stochastic test functions and design optimisation. Int J Bio Inspired Computation 2(2):78\u201384","journal-title":"Int J Bio Inspired Computation"},{"key":"1053_CR63","first-page":"1","volume":"2010","author":"H Chen","year":"2010","unstructured":"Chen H, Zhu Y, Hu K, He X (2010) Hierarchical swarm model: a new approach to optimization. Discrete Dyn Nat Soc 2010:1\u201330","journal-title":"Discrete Dyn Nat Soc"},{"key":"1053_CR64","doi-asserted-by":"crossref","unstructured":"Hedayatzadeh R, Akhavan Salmassi F, Keshtgari M, Akbari R, Ziarati K (2010) Termite colony optimization: a novel approach for optimizing continuous problems. In: 2010 18th Iranian conference on electrical engineering, pp 553\u2013558","DOI":"10.1109\/IRANIANCEE.2010.5507009"},{"key":"1053_CR65","unstructured":"Parpinelli RS, Lopes HS (2011) An eco-inspired evolutionary algorithm applied to numerical optimization. In: 2011 third world congress on nature and biologically inspired computing, pp 466\u2013471"},{"key":"1053_CR66","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.knosys.2011.07.001","volume":"26","author":"W-T Pan","year":"2012","unstructured":"Pan W-T (2012) A new fruit fly optimization algorithm: taking the financial distress model as an example. Knowl Based Syst 26:69\u201374","journal-title":"Knowl Based Syst"},{"key":"1053_CR67","first-page":"508","volume-title":"Weightless swarm algorithm (WSA) for dynamic optimization problems","author":"TO Ting","year":"2012","unstructured":"Ting TO, Man KL, Guan S-U, Nayel M, Wan K (2012) Weightless swarm algorithm (WSA) for dynamic optimization problems. Springer, Berlin, pp 508\u2013515"},{"key":"1053_CR68","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.ins.2012.11.013","volume":"229","author":"P Civicioglu","year":"2013","unstructured":"Civicioglu P (2013) Artificial cooperative search algorithm for numerical optimization problems. Inf Sci (Ny) 229:58\u201376","journal-title":"Inf Sci (Ny)"},{"key":"1053_CR69","first-page":"240","volume-title":"Flower pollination algorithm for global optimization","author":"X-S Yang","year":"2012","unstructured":"Yang X-S (2012) Flower pollination algorithm for global optimization. Springer, Berlin, pp 240\u2013249"},{"issue":"2","key":"1053_CR70","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1007\/s11721-012-0067-2","volume":"6","author":"H Hern\u00e1ndez","year":"2012","unstructured":"Hern\u00e1ndez H, Blum C (2012) Distributed graph coloring: an approach based on the calling behavior of Japanese tree frogs. Swarm Intell 6(2):117\u2013150","journal-title":"Swarm Intell"},{"issue":"12","key":"1053_CR71","doi-asserted-by":"crossref","first-page":"4831","DOI":"10.1016\/j.cnsns.2012.05.010","volume":"17","author":"AH Gandomi","year":"2012","unstructured":"Gandomi AH, Alavi AH (2012) Krill herd: a new bio-inspired optimization algorithm. Commun Nonlinear Sci Numer Simul 17(12):4831\u20134845","journal-title":"Commun Nonlinear Sci Numer Simul"},{"issue":"5","key":"1053_CR72","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1504\/IJBIC.2012.049889","volume":"4","author":"A Mozaffari","year":"2012","unstructured":"Mozaffari A, Fathi A, Behzadipour S (2012) The great salmon run: a novel bio-inspired algorithm for artificial system design and optimisation. Int J BioInspired Comput 4(5):286","journal-title":"Int J BioInspired Comput"},{"key":"1053_CR73","first-page":"1","volume":"2012","author":"RD Maia","year":"2012","unstructured":"Maia RD, de Castro LN, Caminhas WM (2012) Bee colonies as model for multimodal continuous optimization: the OptBees algorithm. IEEE Congr Evol Comput 2012:1\u20138","journal-title":"IEEE Congr Evol Comput"},{"key":"1053_CR74","doi-asserted-by":"crossref","unstructured":"Tang R, Fong S, Yang XS, Deb S (2012) Wolf search algorithm with ephemeral memory. In: Seventh international conference on digital information management (ICDIM 2012). IEEE, pp 165\u2013172","DOI":"10.1109\/ICDIM.2012.6360147"},{"key":"1053_CR75","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.advengsoft.2013.03.004","volume":"59","author":"A Kaveh","year":"2013","unstructured":"Kaveh A, Farhoudi N (2013) A new optimization method: dolphin echolocation. Adv Eng Softw 59:53\u201370","journal-title":"Adv Eng Softw"},{"key":"1053_CR76","first-page":"227","volume-title":"Egyptian vulture optimization algorithm\u2014a new nature inspired meta-heuristics for knapsack problem","author":"C Sur","year":"2013","unstructured":"Sur C, Sharma S, Shukla A (2013) Egyptian vulture optimization algorithm\u2014a new nature inspired meta-heuristics for knapsack problem. Springer, Berlin, pp 227\u2013237"},{"issue":"2","key":"1053_CR77","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1007\/s00521-012-0939-9","volume":"23","author":"M Neshat","year":"2013","unstructured":"Neshat M, Sepidnam G, Sargolzaei M (2013) Swallow swarm optimization algorithm: a new method to optimization. Neural Comput Appl 23(2):429\u2013454","journal-title":"Neural Comput Appl"},{"issue":"7\u20138","key":"1053_CR78","doi-asserted-by":"crossref","first-page":"1867","DOI":"10.1007\/s00521-013-1433-8","volume":"24","author":"X Li","year":"2014","unstructured":"Li X, Zhang J, Yin M (2014) Animal migration optimization: an optimization algorithm inspired by animal migration behavior. Neural Comput Appl 24(7\u20138):1867\u20131877","journal-title":"Neural Comput Appl"},{"key":"1053_CR79","first-page":"86","volume-title":"A new bio-inspired algorithm: chicken swarm optimization","author":"X Meng","year":"2014","unstructured":"Meng X, Liu Y, Gao X, Zhang H (2014) A new bio-inspired algorithm: chicken swarm optimization. Springer, Cham, pp 86\u201394"},{"key":"1053_CR80","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey Wolf Optimizer. Adv Eng Softw 69:46\u201361","journal-title":"Adv Eng Softw"},{"key":"1053_CR81","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.advengsoft.2015.01.010","volume":"83","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili S (2015) The ant lion optimizer. Adv Eng Softw 83:80\u201398","journal-title":"Adv Eng Softw"},{"key":"1053_CR82","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.asoc.2015.03.003","volume":"31","author":"SA Uymaz","year":"2015","unstructured":"Uymaz SA, Tezel G, Yel E (2015) Artificial algae algorithm (AAA) for nonlinear global optimization. Appl Soft Comput 31:153\u2013171","journal-title":"Appl Soft Comput"},{"issue":"4","key":"1053_CR83","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1080\/0952813X.2015.1042530","volume":"28","author":"X-B Meng","year":"2016","unstructured":"Meng X-B, Gao XZ, Lu L, Liu Y, Zhang H (2016) A new bio-inspired optimisation algorithm: bird swarm algorithm. J Exp Theor Artif Intell 28(4):673\u2013687","journal-title":"J Exp Theor Artif Intell"},{"issue":"4","key":"1053_CR84","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1007\/s00521-015-1920-1","volume":"27","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S (2016) Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Comput Appl 27(4):1053\u20131073","journal-title":"Neural Comput Appl"},{"key":"1053_CR85","doi-asserted-by":"crossref","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"},{"key":"1053_CR86","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.compstruc.2016.03.001","volume":"169","author":"A Askarzadeh","year":"2016","unstructured":"Askarzadeh A (2016) A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm. Comput Struct 169:1\u201312","journal-title":"Comput Struct"},{"issue":"02","key":"1053_CR87","doi-asserted-by":"crossref","first-page":"1650011","DOI":"10.1142\/S1469026816500115","volume":"15","author":"W Yong","year":"2016","unstructured":"Yong W, Tao W, Cheng-Zhi Z, Hua-Juan H (2016) A new stochastic optimization approach\u2014dolphin swarm optimization algorithm. Int J Comput Intell Appl 15(02):1650011","journal-title":"Int J Comput Intell Appl"},{"issue":"5","key":"1053_CR88","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1002\/cplx.21634","volume":"21","author":"O Abedinia","year":"2016","unstructured":"Abedinia O, Amjady N, Ghasemi A (2016) A new metaheuristic algorithm based on shark smell optimization. Complexity 21(5):97\u2013116","journal-title":"Complexity"},{"key":"1053_CR89","doi-asserted-by":"crossref","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":"1053_CR90","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.jocs.2017.06.003","volume":"23","author":"X Qi","year":"2017","unstructured":"Qi X, Zhu Y, Zhang H (2017) A new meta-heuristic butterfly-inspired algorithm. J Comput Sci 23:226\u2013239","journal-title":"J Comput Sci"},{"key":"1053_CR91","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.advengsoft.2017.01.004","volume":"105","author":"S Saremi","year":"2017","unstructured":"Saremi S, Mirjalili S, Lewis A (2017) Grasshopper optimisation algorithm: theory and application. Adv Eng Softw 105:30\u201347","journal-title":"Adv Eng Softw"},{"key":"1053_CR92","doi-asserted-by":"crossref","first-page":"987","DOI":"10.1016\/j.asoc.2017.09.035","volume":"62","author":"E Jahani","year":"2018","unstructured":"Jahani E, Chizari M (2018) Tackling global optimization problems with a novel algorithm\u2014Mouth Brooding Fish algorithm. Appl Soft Comput 62:987\u20131002","journal-title":"Appl Soft Comput"},{"key":"1053_CR93","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.advengsoft.2017.07.002","volume":"114","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili S, Gandomi AH, Mirjalili SZ, Saremi S, Faris H, Mirjalili SM (2017) Salp swarm algorithm: a bio-inspired optimizer for engineering design problems. Adv Eng Softw 114:163\u2013191","journal-title":"Adv Eng Softw"},{"key":"1053_CR94","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.biosystems.2017.07.010","volume":"160","author":"F Fausto","year":"2017","unstructured":"Fausto F, Cuevas E, Valdivia A, Gonz\u00e1lez A (2017) A global optimization algorithm inspired in the behavior of selfish herds. Biosystems 160:39\u201355","journal-title":"Biosystems"},{"key":"1053_CR95","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.advengsoft.2017.05.014","volume":"114","author":"G Dhiman","year":"2017","unstructured":"Dhiman G, Kumar V (2017) Spotted hyena optimizer: a novel bio-inspired based metaheuristic technique for engineering applications. Adv Eng Softw 114:48\u201370","journal-title":"Adv Eng Softw"},{"key":"1053_CR96","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.swevo.2018.02.013","volume":"44","author":"M Jain","year":"2019","unstructured":"Jain M, Singh V, Rani A (2019) A novel nature-inspired algorithm for optimization: squirrel search algorithm. Swarm Evol Comput 44:148\u2013175","journal-title":"Swarm Evol Comput"},{"issue":"3","key":"1053_CR97","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/0010-4655(83)90093-0","volume":"30","author":"M Creutz","year":"1983","unstructured":"Creutz M, Moriarty KJM (1983) Implementation of the microcanonical Monte Carlo simulation algorithm for SU(N) lattice gauge theory calculations. Comput Phys Commun 30(3):255\u2013257","journal-title":"Comput Phys Commun"},{"issue":"4598","key":"1053_CR98","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671\u2013680","journal-title":"Science"},{"key":"1053_CR99","unstructured":"Bishop JM (1989) Stochastic searching networks. In: 1989 First IEE international conference on artificial neural networks, (Conf. Publ. No. 313), pp 329\u2013331"},{"issue":"6","key":"1053_CR100","doi-asserted-by":"crossref","first-page":"1226","DOI":"10.1103\/PhysRevLett.75.1226","volume":"75","author":"T Vicsek","year":"1995","unstructured":"Vicsek T, Czir\u00f3k A, Ben-Jacob E, Cohen I, Shochet O (1995) Novel type of phase transition in a system of self-driven particles. Phys Rev Lett 75(6):1226\u20131229","journal-title":"Phys Rev Lett"},{"issue":"11","key":"1053_CR101","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1016\/S0305-0548(97)00031-2","volume":"24","author":"N Mladenovi\u0107","year":"1997","unstructured":"Mladenovi\u0107 N, Hansen P (1997) Variable neighborhood search. Comput Oper Res 24(11):1097\u20131100","journal-title":"Comput Oper Res"},{"key":"1053_CR102","unstructured":"Linhares A (1998) Preying on optima: a predatory search strategy for combinatorial problems. In: SMC\u201998 conference proceedings. 1998 IEEE international conference on systems, man, and cybernetics (Cat. No. 98CH36218), vol 3, pp 2974\u20132978"},{"issue":"1\u20132","key":"1053_CR103","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/S0168-1699(00)00139-3","volume":"29","author":"H Murase","year":"2000","unstructured":"Murase H (2000) Finite element inverse analysis using a photosynthetic algorithm. Comput Electron Agric 29(1\u20132):115\u2013123","journal-title":"Comput Electron Agric"},{"issue":"2","key":"1053_CR104","doi-asserted-by":"crossref","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"},{"key":"1053_CR105","unstructured":"Webster B, Bernhard PJ (2003) A local search optimization algorithm based on natural principles of gravitation. CS-2003-10, Florida Institute of Technology"},{"issue":"2","key":"1053_CR106","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.advengsoft.2005.04.005","volume":"37","author":"OK Erol","year":"2006","unstructured":"Erol OK, Eksin I (2006) A new optimization method: big bang-big crunch. Adv Eng Softw 37(2):106\u2013111","journal-title":"Adv Eng Softw"},{"key":"1053_CR107","doi-asserted-by":"crossref","unstructured":"Formato RA (2007) Central force optimization: a new metaheuristic with applications in applied electromagnetics. In: Progress in electromagnetics research. PIER 77, pp 425\u2013491","DOI":"10.2528\/PIER07082403"},{"key":"1053_CR108","first-page":"3226","volume":"2007","author":"HS Hosseini","year":"2007","unstructured":"Hosseini HS (2007) Problem solving by intelligent water drops. IEEE Congr Evol Comput 2007:3226\u20133231","journal-title":"IEEE Congr Evol Comput"},{"key":"1053_CR109","doi-asserted-by":"crossref","unstructured":"Rabanal P, Rodr\u00edguez I, Rubio F (2007) Using river formation dynamics to design heuristic algorithms. In: Unconventional computation. Springer, Berlin, pp 163\u2013177","DOI":"10.1007\/978-3-540-73554-0_16"},{"key":"1053_CR110","unstructured":"Monismith DR, Mayfield BE (2008) Slime mold as a model for numerical optimization. In: 2008 IEEE swarm intelligence symposium. IEEE, pp 1\u20138"},{"issue":"13","key":"1053_CR111","doi-asserted-by":"crossref","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 (Ny) 179(13):2232\u20132248","journal-title":"Inf Sci (Ny)"},{"issue":"3\u20134","key":"1053_CR112","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/s00707-009-0270-4","volume":"213","author":"A Kaveh","year":"2010","unstructured":"Kaveh A, Talatahari S (2010) A novel heuristic optimization method: charged system search. Acta Mech 213(3\u20134):267\u2013289","journal-title":"Acta Mech"},{"issue":"1","key":"1053_CR113","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.ins.2010.12.024","volume":"182","author":"E Cuevas","year":"2012","unstructured":"Cuevas E, Oliva D, Zaldivar D, P\u00e9rez-Cisneros M, Sossa H (2012) Circle detection using electro-magnetism optimization. Inf Sci (Ny) 182(1):40\u201355","journal-title":"Inf Sci (Ny)"},{"issue":"2","key":"1053_CR114","first-page":"132","volume":"6","author":"H Shah-Hosseini","year":"2011","unstructured":"Shah-Hosseini H (2011) Principal components analysis by the galaxy-based search algorithm: a novel metaheuristic for continuous optimisation Some of the authors of this publication are also working on these related projects: applications of population-based optimization methods View project Self-ception View project Principal components analysis by the galaxy-based search algorithm: a novel metaheuristic for continuous optimisation. Artic Int J Comput Sci Eng 6(2):132\u2013140","journal-title":"Artic Int J Comput Sci Eng"},{"issue":"8","key":"1053_CR115","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.20965\/jaciii.2011.p1116","volume":"15","author":"K Tamura","year":"2011","unstructured":"Tamura K, Yasuda K (2011) Spiral dynamics inspired optimization. J Adv Comput Intell Intell Inf 15(8):1116\u20131122","journal-title":"J Adv Comput Intell Intell Inf"},{"key":"1053_CR116","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.ins.2012.08.023","volume":"222","author":"A Hatamlou","year":"2013","unstructured":"Hatamlou A (2013) Black hole: a new heuristic optimization approach for data clustering. Inf Sci (Ny) 222:175\u2013184","journal-title":"Inf Sci (Ny)"},{"key":"1053_CR117","unstructured":"Moghaddam FF, Moghaddam RF, Cheriet M (2012) Curved space optimization: a random search based on general relativity theory. Neural Evol Comput"},{"key":"1053_CR118","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.compstruc.2012.09.003","volume":"112\u2013113","author":"A Kaveh","year":"2012","unstructured":"Kaveh A, Khayatazad M (2012) A new meta-heuristic method: ray optimization. Comput Struct 112\u2013113:283\u2013294","journal-title":"Comput Struct"},{"key":"1053_CR119","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.compstruc.2012.07.010","volume":"110\u2013111","author":"H Eskandar","year":"2012","unstructured":"Eskandar H, Sadollah A, Bahreininejad A, Hamdi M (2012) Water cycle algorithm\u2014a novel metaheuristic optimization method for solving constrained engineering optimization problems. Comput Struct 110\u2013111:151\u2013166","journal-title":"Comput Struct"},{"key":"1053_CR120","doi-asserted-by":"crossref","unstructured":"Gao-Wei Y, Zhanju H (2012) A novel atmosphere clouds model optimization algorithm. In: 2012 international conference on computing, measurement, control and sensor network, pp 217\u2013220","DOI":"10.1109\/CMCSN.2012.117"},{"issue":"5","key":"1053_CR121","doi-asserted-by":"crossref","first-page":"2592","DOI":"10.1016\/j.asoc.2012.11.026","volume":"13","author":"A Sadollah","year":"2013","unstructured":"Sadollah A, Bahreininejad A, Eskandar H, Hamdi M (2013) Mine blast algorithm: a new population based algorithm for solving constrained engineering optimization problems. Appl Soft Comput 13(5):2592\u20132612","journal-title":"Appl Soft Comput"},{"key":"1053_CR122","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.compstruc.2014.04.005","volume":"139","author":"A Kaveh","year":"2014","unstructured":"Kaveh A, Mahdavi VR (2014) Colliding bodies optimization: a novel meta-heuristic method. Comput Struct 139:18\u201327","journal-title":"Comput Struct"},{"key":"1053_CR123","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.ins.2014.02.026","volume":"275","author":"S Moein","year":"2014","unstructured":"Moein S, Logeswaran R (2014) KGMO: a swarm optimization algorithm based on the kinetic energy of gas molecules. Inf Sci (Ny) 275:127\u2013144","journal-title":"Inf Sci (Ny)"},{"key":"1053_CR124","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.asoc.2015.07.028","volume":"36","author":"H Shareef","year":"2015","unstructured":"Shareef H, Ibrahim AA, Mutlag AH (2015) Lightning search algorithm. Appl Soft Comput 36:315\u2013333","journal-title":"Appl Soft Comput"},{"key":"1053_CR125","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1016\/j.asoc.2015.10.036","volume":"56","author":"A Baykaso\u011flu","year":"2017","unstructured":"Baykaso\u011flu A, Akpinar \u015e (2017) Weighted superposition attraction (WSA): a swarm intelligence algorithm for optimization problems\u2014part 1: unconstrained optimization. Appl Soft Comput 56:520\u2013540","journal-title":"Appl Soft Comput"},{"key":"1053_CR126","doi-asserted-by":"crossref","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"},{"issue":"2","key":"1053_CR127","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1007\/s00521-015-1870-7","volume":"27","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Mirjalili SM, Hatamlou A (2016) Multi-verse optimizer: a nature-inspired algorithm for global optimization. Neural Comput Appl 27(2):495\u2013513","journal-title":"Neural Comput Appl"},{"key":"1053_CR128","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.compchemeng.2017.01.046","volume":"103","author":"A Tabari","year":"2017","unstructured":"Tabari A, Ahmad A (2017) A new optimization method: electro-search algorithm. Comput Chem Eng 103:1\u201311","journal-title":"Comput Chem Eng"},{"key":"1053_CR129","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1016\/j.asoc.2017.06.033","volume":"59","author":"AF Nematollahi","year":"2017","unstructured":"Nematollahi AF, Rahiminejad A, Vahidi B (2017) A novel physical based meta-heuristic optimization method known as lightning attachment procedure optimization. Appl Soft Comput 59:596\u2013621","journal-title":"Appl Soft Comput"},{"key":"1053_CR130","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.advengsoft.2017.03.014","volume":"110","author":"A Kaveh","year":"2017","unstructured":"Kaveh A, Dadras A (2017) A novel meta-heuristic optimization algorithm: thermal exchange optimization. Adv Eng Softw 110:69\u201384","journal-title":"Adv Eng Softw"},{"key":"1053_CR131","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.cie.2018.12.033","volume":"128","author":"A Husseinzadeh Kashan","year":"2019","unstructured":"Husseinzadeh Kashan A, Tavakkoli-Moghaddam R, Gen M (2019) Find-fix-finish-exploit-analyze (F3EA) meta-heuristic algorithm: an effective algorithm with new evolutionary operators for global optimization. Comput Ind Eng 128:192\u2013218","journal-title":"Comput Ind Eng"},{"issue":"4","key":"1053_CR132","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1109\/TEVC.2003.814902","volume":"7","author":"T Ray","year":"2003","unstructured":"Ray T, Liew KM (2003) Society and civilization: an optimization algorithm based on the simulation of social behavior. IEEE Trans Evol Comput 7(4):386\u2013396","journal-title":"IEEE Trans Evol Comput"},{"key":"1053_CR133","doi-asserted-by":"crossref","unstructured":"Zhang LM, Dahlmann C, Zhang Y (2009) Human-inspired algorithms for continuous function optimization. In: 2009 IEEE international conference on intelligent computing and intelligent systems, pp 318\u2013321","DOI":"10.1109\/ICICISYS.2009.5357838"},{"key":"1053_CR134","doi-asserted-by":"crossref","unstructured":"Kashan AH (2009) League championship algorithm: a new algorithm for numerical function optimization. In: 2009 international conference of soft computing and pattern recognition, pp 43\u201348","DOI":"10.1109\/SoCPaR.2009.21"},{"key":"1053_CR135","first-page":"583","volume-title":"Social emotional optimization algorithm for nonlinear constrained optimization problems","author":"Y Xu","year":"2010","unstructured":"Xu Y, Cui Z, Zeng J (2010) Social emotional optimization algorithm for nonlinear constrained optimization problems. Springer, Berlin, pp 583\u2013590"},{"key":"1053_CR136","first-page":"303","volume-title":"Brain storm optimization algorithm","author":"Y Shi","year":"2011","unstructured":"Shi Y (2011) Brain storm optimization algorithm. Springer, Berlin, pp 303\u2013309"},{"issue":"1","key":"1053_CR137","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2011.08.006","volume":"183","author":"RV Rao","year":"2012","unstructured":"Rao RV, Savsani VJ, Vakharia DP (2012) Teaching\u2013learning-based optimization: an optimization method for continuous non-linear large scale problems. Inf Sci (Ny) 183(1):1\u201315","journal-title":"Inf Sci (Ny)"},{"issue":"4","key":"1053_CR138","doi-asserted-by":"crossref","first-page":"199","DOI":"10.5923\/j.eee.20120204.05","volume":"2","author":"H Shayeghi","year":"2012","unstructured":"Shayeghi H, Dadashpour J (2012) Anarchic society optimization based PID control of an automatic voltage regulator (AVR) system. Electr Electron Eng 2(4):199\u2013207","journal-title":"Electr Electron Eng"},{"key":"1053_CR139","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.asoc.2017.11.043","volume":"64","author":"R Moghdani","year":"2018","unstructured":"Moghdani R, Salimifard K (2018) Volleyball premier league algorithm. Appl Soft Comput 64:161\u2013185","journal-title":"Appl Soft Comput"},{"key":"1053_CR140","unstructured":"Awad NH, Ali MZ, Liang JJ, Qu BY, Suganthan PN (2016) Problem definitions and evaluation criteria for the CEC 2017 special session and competition on single objective bound constrained real-parameter numerical optimization. In: Technical Report, Nanyang Technological University Singapore"},{"key":"1053_CR141","unstructured":"Das S, Suganthan PN (2010) Problem definitions and evaluation criteria for CEC 2011 competition on testing evolutionary algorithms on real world optimization problems. Tech. Rep"},{"issue":"6","key":"1053_CR142","doi-asserted-by":"crossref","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\u00a0case study on\u00a0the\u00a0CEC\u20192005 special session on\u00a0real parameter optimization. J Heuristics 15(6):617\u2013644","journal-title":"J Heuristics"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-019-01053-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-019-01053-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-019-01053-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,13]],"date-time":"2021-02-13T01:15:34Z","timestamp":1613178934000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-019-01053-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,18]]},"references-count":142,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2020,7]]}},"alternative-id":["1053"],"URL":"https:\/\/doi.org\/10.1007\/s13042-019-01053-x","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,18]]},"assertion":[{"value":"12 April 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 December 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 December 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}