{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T22:08:04Z","timestamp":1782166084404,"version":"3.54.5"},"reference-count":72,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,8,13]],"date-time":"2019-08-13T00:00:00Z","timestamp":1565654400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,8,13]],"date-time":"2019-08-13T00:00:00Z","timestamp":1565654400000},"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":["Engineering with Computers"],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1007\/s00366-019-00837-7","type":"journal-article","created":{"date-parts":[[2019,8,13]],"date-time":"2019-08-13T09:02:42Z","timestamp":1565686962000},"page":"509-532","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":150,"title":["I-GWO and Ex-GWO: improved algorithms of the Grey Wolf Optimizer to solve global optimization problems"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5186-4499","authenticated-orcid":false,"given":"Amir","family":"Seyyedabbasi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farzad","family":"Kiani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,8,13]]},"reference":[{"key":"837_CR1","volume-title":"Artificial intelligence","author":"PH Winston","year":"1992","unstructured":"Winston PH (1992) Artificial intelligence, 3rd edn. Addison-Wesley, Boston","edition":"3"},{"key":"837_CR2","doi-asserted-by":"crossref","unstructured":"Yao X, Yong L (1997) Fast evolution strategies. In: International conference on evolutionary programming. Springer, Berlin","DOI":"10.1007\/BFb0014808"},{"key":"837_CR3","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":"837_CR4","doi-asserted-by":"crossref","DOI":"10.1002\/9780470496916","volume-title":"Metaheuristics: from design to implementation","author":"EG Talbi","year":"2009","unstructured":"Talbi EG (2009) Metaheuristics: from design to implementation, vol 74. Wiley, Hoboken"},{"key":"837_CR5","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":"837_CR6","unstructured":"Jamil M, Xin-She Y (2013) A literature survey of benchmark functions for global optimization problems. arXiv preprint arXiv.1308-4008"},{"issue":"1","key":"837_CR7","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1038\/scientificamerican0792-66","volume":"267","author":"JH Holland","year":"1992","unstructured":"Holland JH (1992) Genetic algorithms. Sci Am 267(1):66\u201373","journal-title":"Sci Am"},{"issue":"3","key":"837_CR8","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1007\/s11704-014-3496-9","volume":"9","author":"P Chawla","year":"2015","unstructured":"Chawla P, Chana I, Rana A (2015) A novel strategy for automatic test data generation using soft computing technique. Front Comput Sci 9(3):346\u2013363","journal-title":"Front Comput Sci"},{"key":"837_CR9","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.engstruct.2018.11.081","volume":"181","author":"GF Gomes","year":"2019","unstructured":"Gomes GF, de Almeida FA, Junqueira DM, da Cunha Jr SS, Ancelotti AC Jr (2019) Optimized damage identification in CFRP plates by reduced mode shapes and GA-ANN methods. Eng Struct 181:111\u2013123","journal-title":"Eng Struct"},{"key":"837_CR10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2019\/7475156","volume":"2019","author":"M Kilinc","year":"2019","unstructured":"Kilinc M, Caicedo JM (2019) Finding plausible optimal solutions in engineering problems using an adaptive genetic algorithm. Adv Civ Eng 2019:1\u20139","journal-title":"Adv Civ Eng"},{"issue":"4","key":"837_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":"837_CR12","first-page":"259","volume-title":"Analysis of existing clustering algorithms for wireless sensor networks. System Performance and Management Analytics","author":"R Sharma","year":"2019","unstructured":"Sharma R, Vashisht V, Singh AV, Kumar S (2019) Analysis of existing clustering algorithms for wireless sensor networks. System Performance and Management Analytics. Springer, Singapore, pp 259\u2013277"},{"issue":"3","key":"837_CR13","doi-asserted-by":"crossref","first-page":"1021","DOI":"10.1007\/s00500-017-2815-0","volume":"23","author":"PS Mann","year":"2019","unstructured":"Mann PS, Singh S (2019) Improved metaheuristic-based energy-efficient clustering protocol with optimal base station location in wireless sensor networks. Soft Comput 23(3):1021\u20131037","journal-title":"Soft Comput"},{"key":"837_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-019-00215-8","author":"RK Sahu","year":"2019","unstructured":"Sahu RK, Sekhar GC, Priyadarshani S (2019) Differential evolution algorithm tuned tilt integral derivative controller with filter controller for automatic generation control. Evol Intell. https:\/\/doi.org\/10.1007\/s12065-019-00215-8","journal-title":"Evol Intell"},{"issue":"2","key":"837_CR15","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 Evol Comput 3(2):82\u2013102","journal-title":"IEEE Trans Evol Comput"},{"key":"837_CR16","volume-title":"Artificial intelligence through simulated evolution","author":"LJ Fogel","year":"1966","unstructured":"Fogel LJ, Owens AJ, Walsh MJ (1966) Artificial intelligence through simulated evolution. Wiley-IEEE Press, Hoboken"},{"issue":"1","key":"837_CR17","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1080\/0305215X.2018.1439942","volume":"51","author":"X Zhang","year":"2019","unstructured":"Zhang X, Luo J, Sun X, Xie J (2019) Optimal reservoir flood operation using a decomposition-based multi-objective evolutionary algorithm. Eng Optim 51(1):42\u201362","journal-title":"Eng Optim"},{"issue":"6","key":"837_CR18","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":"837_CR19","doi-asserted-by":"crossref","first-page":"166","DOI":"10.5937\/fmet1901166K","volume":"47","author":"F Kasilingam","year":"2019","unstructured":"Kasilingam F, Pasupuleti J, Bharatiraja C, Adedayo Y (2019) Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances. FME Trans 47(1):166\u2013176","journal-title":"FME Trans"},{"key":"837_CR20","doi-asserted-by":"crossref","unstructured":"Kumar M, Om H (2019) A Hybrid bio-inspired algorithm for protein domain problems. In: Advances in nature-inspired computing and applications. Springer, Cham, pp\u00a0291\u2013311","DOI":"10.1007\/978-3-319-96451-5_13"},{"issue":"5","key":"837_CR21","doi-asserted-by":"crossref","first-page":"3605","DOI":"10.1016\/j.eswa.2009.10.031","volume":"37","author":"A Bhattacharya","year":"2010","unstructured":"Bhattacharya A, Chattopadhyay PK (2010) Solving complex economic load dispatch problems using biogeography-based optimization. Expert Syst Appl 37(5):3605\u20133615","journal-title":"Expert Syst Appl"},{"issue":"13","key":"837_CR22","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 179(13):2232\u20132248","journal-title":"Inf Sci"},{"key":"837_CR23","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.energy.2018.01.119","volume":"148","author":"A Naserbegi","year":"2018","unstructured":"Naserbegi A, Aghaie M, Minuchehr A, Alahyarizadeh G (2018) A novel exergy optimization of Bushehr nuclear power plant by gravitational search algorithm (GSA). Energy 148:373\u2013385","journal-title":"Energy"},{"key":"837_CR24","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.apenergy.2014.04.056","volume":"128","author":"M Marzband","year":"2014","unstructured":"Marzband M, Ghadimi M, Sumper A, Dom\u00ednguez-Garc\u00eda JL (2014) Experimental validation of a real-time energy management system using multi-period gravitational search algorithm for microgrids in islanded mode. Appl Energy 128:164\u2013174","journal-title":"Appl Energy"},{"key":"837_CR25","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.engappai.2014.05.002","volume":"34","author":"T Chakraborti","year":"2014","unstructured":"Chakraborti T, Sharma KD, Chatterjee A (2014) A novel local extrema based gravitational search algorithm and its application in face recognition using one training image per class. Eng Appl Artif Intell 34:13\u201322","journal-title":"Eng Appl Artif Intell"},{"issue":"2","key":"837_CR26","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\u2013big crunch. Adv Eng Softw 37(2):106\u2013111","journal-title":"Adv Eng Softw"},{"issue":"4","key":"837_CR27","first-page":"41","volume":"2","author":"S Sakthivel","year":"2013","unstructured":"Sakthivel S, Pandiyan SA, Marikani S, Selvi SK (2013) Application of big bang big crunch algorithm for optimal power flow problems. Int J Eng Sci 2(4):41\u201347","journal-title":"Int J Eng Sci"},{"issue":"3\u20134","key":"837_CR28","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":"837_CR29","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1016\/j.energy.2012.08.008","volume":"46","author":"S \u00d6zy\u00f6n","year":"2012","unstructured":"\u00d6zy\u00f6n S, Temurta\u015f H, Durmu\u015f B, Kuvat G (2012) Charged system search algorithm for emission constrained economic power dispatch problem. Energy 46(1):420\u2013430","journal-title":"Energy"},{"issue":"3","key":"837_CR30","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1109\/TEVC.2009.2033580","volume":"14","author":"AY Lam","year":"2010","unstructured":"Lam AY, Li VO (2010) Chemical-reaction-inspired metaheuristic for optimization. IEEE Trans Evol Comput 14(3):381\u2013399","journal-title":"IEEE Trans Evol Comput"},{"issue":"10","key":"837_CR31","doi-asserted-by":"crossref","first-page":"1624","DOI":"10.1109\/TPDS.2011.35","volume":"22","author":"J Xu","year":"2011","unstructured":"Xu J, Lam AY, Li VO (2011) Chemical reaction optimization for task scheduling in grid computing. IEEE Trans Parallel Distrib Syst 22(10):1624\u20131631","journal-title":"IEEE Trans Parallel Distrib Syst"},{"issue":"1","key":"837_CR32","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1007\/s10489-018-1264-5","volume":"49","author":"Z Li","year":"2019","unstructured":"Li Z, Li Y, Yuan T, Chen S, Jiang S (2019) Chemical reaction optimization for virtual machine placement in cloud computing. Appl Intell 49(1):220\u2013232","journal-title":"Appl Intell"},{"issue":"2","key":"837_CR33","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1007\/s10489-018-1281-4","volume":"49","author":"R Kabir","year":"2019","unstructured":"Kabir R, Islam R (2019) Chemical reaction optimization for RNA structure prediction. Appl Intell 49(2):352\u2013375","journal-title":"Appl Intell"},{"key":"837_CR34","doi-asserted-by":"crossref","first-page":"425","DOI":"10.2528\/PIER07082403","volume":"77","author":"RA Formato","year":"2007","unstructured":"Formato RA (2007) Central force optimization: a new metaheuristic with applications in applied electromagnetics. Prog Electromagn Res 77:425\u2013491","journal-title":"Prog Electromagn Res"},{"issue":"8","key":"837_CR35","doi-asserted-by":"crossref","first-page":"2347","DOI":"10.1007\/s11269-012-0020-6","volume":"26","author":"A Haghighi","year":"2012","unstructured":"Haghighi A, Ramos HM (2012) Detection of leakage freshwater and friction factor calibration in drinking networks using central force optimization. Water Resour Manag 26(8):2347\u20132363","journal-title":"Water Resour Manag"},{"key":"837_CR36","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 222:175\u2013184","journal-title":"Inf Sci"},{"issue":"24","key":"837_CR37","doi-asserted-by":"crossref","first-page":"8167","DOI":"10.1007\/s00500-017-2760-y","volume":"22","author":"A Hatamlou","year":"2018","unstructured":"Hatamlou A (2018) Solving travelling salesman problem using black hole algorithm. Soft Comput 22(24):8167\u20138175","journal-title":"Soft Comput"},{"key":"837_CR38","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of ICNN'95 - international conference on neural networks, Australia, pp 1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"key":"837_CR39","doi-asserted-by":"crossref","unstructured":"Pattanayak S, Agarwal S, Choudhury BB, Sahoo SC (2019) Path planning of mobile robot using PSO algorithm. In: Information and communication technology for intelligent systems. Springer, Singapore, pp\u00a0515\u2013522","DOI":"10.1007\/978-981-13-1742-2_51"},{"issue":"3","key":"837_CR40","doi-asserted-by":"crossref","first-page":"759","DOI":"10.12928\/telkomnika.v13i3.1790","volume":"13","author":"R Syahputra","year":"2015","unstructured":"Syahputra R, Robandi I, Ashari M (2015) Reconfiguration of distribution network with distributed energy resources integration using PSO algorithm. Telkomnika 13(3):759","journal-title":"Telkomnika"},{"key":"837_CR41","first-page":"36","volume-title":"Ant colony optimization","author":"M Dorigo","year":"2010","unstructured":"Dorigo M, Birattari M (2010) Ant colony optimization. Springer, New York, pp 36\u201339"},{"issue":"2","key":"837_CR42","doi-asserted-by":"crossref","first-page":"909","DOI":"10.3390\/s90200909","volume":"9","author":"S Okdem","year":"2009","unstructured":"Okdem S, Karaboga D (2009) Routing in wireless sensor networks using an ant colony optimization (ACO) router chip. Sensors 9(2):909\u2013921","journal-title":"Sensors"},{"issue":"6","key":"837_CR43","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1016\/j.tre.2006.05.004","volume":"43","author":"W Yi","year":"2007","unstructured":"Yi W, Kumar A (2007) Ant colony optimization for disaster relief operations. Transp Res Part E Logist Transp Rev 43(6):660\u2013672","journal-title":"Transp Res Part E Logist Transp Rev"},{"key":"837_CR44","doi-asserted-by":"crossref","unstructured":"Tian J, Yu W, Xie S (2008) An ant colony optimization algorithm for image edge detection. In: 2008 IEEE congress on evolutionary computation (IEEE World Congress on Computational Intelligence). IEEE, pp\u00a0751\u2013756","DOI":"10.1109\/CEC.2008.4630880"},{"issue":"1","key":"837_CR45","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1016\/j.asoc.2007.05.007","volume":"8","author":"D Karaboga","year":"2008","unstructured":"Karaboga D, Basturk B (2008) On the performance of artificial bee colony (ABC) algorithm. Appl Soft Comput 8(1):687\u2013697","journal-title":"Appl Soft Comput"},{"key":"837_CR46","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.knosys.2018.02.029","volume":"148","author":"D Gong","year":"2018","unstructured":"Gong D, Han Y, Sun J (2018) A novel hybrid multi-objective artificial bee colony algorithm for blocking lot-streaming flow shop scheduling problems. Knowl Based Syst 148:115\u2013130","journal-title":"Knowl Based Syst"},{"issue":"2","key":"837_CR47","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1016\/j.asoc.2008.09.001","volume":"9","author":"A Singh","year":"2009","unstructured":"Singh A (2009) An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem. Appl Soft Comput 9(2):625\u2013631","journal-title":"Appl Soft Comput"},{"key":"837_CR48","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/978-3-642-12538-6_6","volume-title":"Nature inspired cooperative strategies for optimization (NICSO 2010)","author":"XS Yang","year":"2010","unstructured":"Yang XS (2010) A new metaheuristic bat-inspired algorithm. Nature inspired cooperative strategies for optimization (NICSO 2010). Springer, New York, pp 65\u201374"},{"key":"837_CR49","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.engappai.2015.10.006","volume":"48","author":"E Osaba","year":"2016","unstructured":"Osaba E, Yang XS, Diaz F, Lopez-Garcia P, Carballedo R (2016) An improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems. Eng Appl Artif Intell 48:59\u201371","journal-title":"Eng Appl Artif Intell"},{"key":"837_CR50","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.ijepes.2014.07.042","volume":"64","author":"MR Sathya","year":"2015","unstructured":"Sathya MR, Ansari MMT (2015) Load frequency control using Bat inspired algorithm based dual mode gain scheduling of PI controllers for interconnected power system. Int J Electr Power Energy Syst 64:365\u2013374","journal-title":"Int J Electr Power Energy Syst"},{"key":"837_CR51","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-Inspir Comput 2:78\u201384","journal-title":"Int J Bio-Inspir Comput"},{"issue":"4","key":"837_CR52","first-page":"473","volume":"8","author":"H Banati","year":"2011","unstructured":"Banati H, Bajaj M (2011) Fire fly based feature selection approach. Int J Comput Sci Issues (IJCSI) 8(4):473","journal-title":"Int J Comput Sci Issues (IJCSI)"},{"issue":"5","key":"837_CR53","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1002\/tal.1043","volume":"23","author":"S Talatahari","year":"2014","unstructured":"Talatahari S, Gandomi AH, Yun GJ (2014) Optimum design of tower structures using firefly algorithm. Struct Des Tall Spec Build 23(5):350\u2013361","journal-title":"Struct Des Tall Spec Build"},{"key":"837_CR54","doi-asserted-by":"crossref","unstructured":"Tuba E, Tuba M, Beko M (2017) Mobile wireless sensor networks coverage maximization by firefly algorithm. In: 2017 27th international conference Radioelektronika (RADIOELEKTRONIKA). IEEE, pp\u00a01\u20135","DOI":"10.1109\/RADIOELEK.2017.7937592"},{"key":"837_CR55","unstructured":"Yang XS, Deb S (2009) Cuckoo search via L\u00e9vy flights. In: 2009 World congress on nature and biologically inspired computing (NaBIC), pp\u00a0210\u2013214"},{"key":"837_CR56","first-page":"502","volume-title":"Applied mechanics and materials","author":"A Mohamad","year":"2013","unstructured":"Mohamad A, Zain AM, Bazin NEN, Udin A (2013) Cuckoo search algorithm for optimization problems-a literature review. Applied mechanics and materials, vol 421. Trans Tech Publications, Zurich, pp 502\u2013506"},{"key":"837_CR57","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/978-3-030-03131-2_2","volume-title":"Optimization of the cropping pattern using cuckoo search technique. Smart techniques for a smarter planet","author":"A Rath","year":"2019","unstructured":"Rath A, Samantaray S, Swain PC (2019) Optimization of the cropping pattern using cuckoo search technique. Smart techniques for a smarter planet. Springer, Cham, pp 19\u201335"},{"key":"837_CR58","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.compbiomed.2018.09.015","volume":"102","author":"MA Arif","year":"2018","unstructured":"Arif MA, Mohamad MS, Latif MSA, Deris S, Remli MA, Daud KM, Corchado JM (2018) A hybrid of cuckoo search and minimization of metabolic adjustment to optimize metabolites production in genome-scale models. Comput Biol Med 102:112\u2013119","journal-title":"Comput Biol Med"},{"issue":"6","key":"837_CR59","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1504\/IJMC.2011.042781","volume":"9","author":"M Dhivya","year":"2011","unstructured":"Dhivya M, Sundarambal M (2011) Cuckoo search for data gathering in wireless sensor networks. Int J Mob Commun 9(6):642\u2013656","journal-title":"Int J Mob Commun"},{"issue":"1","key":"837_CR60","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1063\/1.2817338","volume":"953","author":"A Mucherino","year":"2007","unstructured":"Mucherino A, Seref O (2007) Monkey search: a novel metaheuristic search for global optimization. AIP Conf Proc 953(1):162\u2013173","journal-title":"AIP Conf Proc"},{"key":"837_CR61","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1016\/j.asoc.2015.10.043","volume":"38","author":"Y Zhou","year":"2016","unstructured":"Zhou Y, Chen X, Zhou G (2016) An improved monkey algorithm for a 0\u20131 knapsack problem. Appl Soft Comput 38:817\u2013830","journal-title":"Appl Soft Comput"},{"issue":"1","key":"837_CR62","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1002\/stc.1664","volume":"22","author":"TH Yi","year":"2015","unstructured":"Yi TH, Li HN, Zhang XD (2015) Health monitoring sensor placement optimization for Canton Tower using immune monkey algorithm. Struct Control Health Monit 22(1):123\u2013138","journal-title":"Struct Control Health Monit"},{"key":"837_CR63","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.eswa.2017.04.029","volume":"86","author":"AKM Khairuzzaman","year":"2017","unstructured":"Khairuzzaman AKM, Chaudhury S (2017) Multilevel thresholding using grey wolf optimizer for image segmentation. Expert Syst Appl 86:64\u201376","journal-title":"Expert Syst Appl"},{"key":"837_CR64","first-page":"1","volume":"2017","author":"Q Li","year":"2017","unstructured":"Li Q, Chen H, Huang H, Zhao X, Cai Z, Tong C, Tian X (2017) An enhanced grey wolf optimization based feature selection wrapped kernel extreme learning machine for medical diagnosis. Comput Math Methods Med 2017:1\u201315","journal-title":"Comput Math Methods Med"},{"key":"837_CR65","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1016\/j.compeleceng.2018.01.002","volume":"70","author":"M Fahad","year":"2018","unstructured":"Fahad M, Aadil F, Khan S, Shah PA, Muhammad K, Lloret J, Mehmood I (2018) Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks. Comput Electr Eng 70:853\u2013870","journal-title":"Comput Electr Eng"},{"key":"837_CR66","unstructured":"Mousavi S, Mosavi A, Varkonyi-Koczy AR (2017) A load balancing algorithm for resource allocation in cloud computing. In: International conference on global research and education. Springer, Cham, pp\u00a0289\u2013296"},{"key":"837_CR67","first-page":"1","volume":"8","author":"N Mittal","year":"2016","unstructured":"Mittal N, Singh U, Sohi BS (2016) Modified grey wolf optimizer for global engineering optimization. Appl Comput Intell Soft Comput 8:1\u201316","journal-title":"Appl Comput Intell Soft Comput"},{"issue":"2","key":"837_CR68","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1007\/s00521-017-3272-5","volume":"30","author":"H Faris","year":"2018","unstructured":"Faris H, Aljarah I, Al-Betar MA, Mirjalili S (2018) Grey wolf optimizer: a review of recent variants and applications. Neural Comput Appl 30(2):413\u2013435","journal-title":"Neural Comput Appl"},{"issue":"3","key":"837_CR69","doi-asserted-by":"crossref","first-page":"235","DOI":"10.3233\/FI-2017-1539","volume":"153","author":"H Joshi","year":"2017","unstructured":"Joshi H, Arora S (2017) Enhanced grey wolf optimization algorithm for global optimization. Fundam Inform 153(3):235\u2013264","journal-title":"Fundam Inform"},{"key":"837_CR70","unstructured":"Liang JJ, Qu BY, Suganthan PN (2013) Problem definitions and evaluation criteria for the CEC 2014 special session and competition on single objective real-parameter numerical optimization. Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Technical Report, Nanyang Technological University, Singapore, vol\u00a0635"},{"key":"837_CR71","unstructured":"Liang JJ, Qu BY, Suganthan PN, Chen Q (2014) Problem definitions and evaluation criteria for the CEC 2015 competition on learning-based real-parameter single objective optimization. Technical Report201411A, Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Technical Report, Nanyang Technological University, Singapore, vol\u00a029, pp\u00a0625\u2013640"},{"key":"837_CR72","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"}],"container-title":["Engineering with Computers"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00366-019-00837-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00366-019-00837-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00366-019-00837-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,21]],"date-time":"2021-01-21T10:30:11Z","timestamp":1611225011000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00366-019-00837-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,13]]},"references-count":72,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["837"],"URL":"https:\/\/doi.org\/10.1007\/s00366-019-00837-7","relation":{},"ISSN":["0177-0667","1435-5663"],"issn-type":[{"value":"0177-0667","type":"print"},{"value":"1435-5663","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,13]]},"assertion":[{"value":"20 April 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 July 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 August 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that there are no conflicts of interest regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}