{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T06:01:03Z","timestamp":1781848863336,"version":"3.54.5"},"reference-count":185,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2018,1,13]],"date-time":"2018-01-13T00:00:00Z","timestamp":1515801600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100007837","name":"Universiti Tun Hussein Onn Malaysia","doi-asserted-by":"publisher","award":["U560"],"award-info":[{"award-number":["U560"]}],"id":[{"id":"10.13039\/100007837","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1007\/s10462-017-9605-z","type":"journal-article","created":{"date-parts":[[2018,1,13]],"date-time":"2018-01-13T15:18:58Z","timestamp":1515856738000},"page":"2191-2233","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":736,"title":["Metaheuristic research: a comprehensive survey"],"prefix":"10.1007","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0011-2726","authenticated-orcid":false,"given":"Kashif","family":"Hussain","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohd Najib","family":"Mohd Salleh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shi","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhui","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,1,13]]},"reference":[{"key":"9605_CR1","volume-title":"Local search in combinatorial optimization","author":"EHL Aarts","year":"1997","unstructured":"Aarts EHL, Lenstra JK (1997) Local search in combinatorial optimization. Princeton University Press, Princeton"},{"issue":"5","key":"9605_CR2","doi-asserted-by":"publisher","first-page":"2932","DOI":"10.1016\/j.asoc.2012.03.068","volume":"13","author":"M Abdechiri","year":"2013","unstructured":"Abdechiri M, Meybodi MR, Bahrami H (2013) Gases brownian motion optimization: an algorithm for optimization (GBMO). Appl Soft Comput 13(5):2932\u20132946","journal-title":"Appl Soft Comput"},{"key":"9605_CR3","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1016\/j.future.2015.08.006","volume":"56","author":"M Abdullahi","year":"2016","unstructured":"Abdullahi M, Ngadi A et al (2016) Symbiotic organism search optimization based task scheduling in cloud computing environment. Future Gener Comput Syst 56:640\u2013650","journal-title":"Future Gener Comput Syst"},{"key":"9605_CR4","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1002\/cplx.21634","volume":"21","author":"O Abedinia","year":"2014","unstructured":"Abedinia O, Amjady N, Ghasemi A (2014) A new metaheuristic algorithm based on shark smell optimization. Complexity 21:97\u2013116","journal-title":"Complexity"},{"key":"9605_CR5","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.swevo.2015.07.002","volume":"26","author":"H Abedinpourshotorban","year":"2016","unstructured":"Abedinpourshotorban H, Shamsuddin SM, Beheshti Z, Jawawi DNA (2016) Electromagnetic field optimization: a physics-inspired metaheuristic optimization algorithm. Swarm Evolut Comput 26:8\u201322","journal-title":"Swarm Evolut Comput"},{"key":"9605_CR6","doi-asserted-by":"crossref","unstructured":"Al\u00a0Rifaie MM, Bishop MJ, Blackwell T (2011) An investigation into the merger of stochastic diffusion search and particle swarm optimisation. In: Proceedings of the 13th annual conference on genetic and evolutionary computation, ACM pp 37\u201344","DOI":"10.1145\/2001576.2001583"},{"key":"9605_CR7","doi-asserted-by":"publisher","DOI":"10.1002\/0471739383","volume-title":"Parallel metaheuristics: a new class of algorithms","author":"E Alba","year":"2005","unstructured":"Alba E (2005) Parallel metaheuristics: a new class of algorithms, vol 47. Wiley, Hoboken"},{"key":"9605_CR8","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/j.ins.2015.11.032","volume":"334","author":"MZ Ali","year":"2016","unstructured":"Ali MZ, Awad NH, Suganthan PN, Duwairi RM, Reynolds RG (2016) A novel hybrid cultural algorithms framework with trajectory-based search for global numerical optimization. Inf Sci 334:219\u2013249","journal-title":"Inf Sci"},{"key":"9605_CR9","doi-asserted-by":"crossref","unstructured":"Amudhavel J, Kumarakrishnan S, Anantharaj B, Padmashree D, Harinee S, Kumar KP (2015) A novel bio-inspired krill herd optimization in wireless ad-hoc network (WANET) for effective routing. In: Proceedings of the 2015 international conference on advanced research in computer science engineering & technology (ICARCSET 2015), ACM p 28","DOI":"10.1145\/2743065.2743093"},{"issue":"1","key":"9605_CR10","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1109\/72.265960","volume":"5","author":"PJ Angeline","year":"1994","unstructured":"Angeline PJ, Saunders GM, Pollack JB (1994) An evolutionary algorithm that constructs recurrent neural networks. IEEE Trans Neural Networks 5(1):54\u201365","journal-title":"IEEE Trans Neural Networks"},{"key":"9605_CR11","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1155\/2014\/178959","volume":"2014","author":"AM Arasomwan","year":"2014","unstructured":"Arasomwan AM, Adewumi AO (2014) An investigation into the performance of particle swarm optimization with various chaotic maps. Math Prob Eng 2014:14","journal-title":"Math Prob Eng"},{"key":"9605_CR12","doi-asserted-by":"publisher","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"},{"key":"9605_CR13","doi-asserted-by":"crossref","unstructured":"Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In: 2007 IEEE congress on evolutionary computation, IEEE, pp 4661\u20134667","DOI":"10.1109\/CEC.2007.4425083"},{"issue":"6","key":"9605_CR14","first-page":"4391","volume":"8","author":"C Bae","year":"2012","unstructured":"Bae C, Yeh W-C, Wahid N, Chung YY, Liu Y (2012) A new simplified swarm optimization (SSO) using exchange local search scheme. Int J Innov Comput Inf Control 8(6):4391\u20134406","journal-title":"Int J Innov Comput Inf Control"},{"issue":"3","key":"9605_CR15","doi-asserted-by":"publisher","first-page":"225","DOI":"10.3233\/MGS-2010-0149","volume":"6","author":"M Bandieramonte","year":"2010","unstructured":"Bandieramonte M, Di Stefano A, Morana G (2010) Grid jobs scheduling: the alienated ant algorithm solution. Multiagent Grid Syst 6(3):225\u2013243","journal-title":"Multiagent Grid Syst"},{"key":"9605_CR16","doi-asserted-by":"crossref","unstructured":"Barresi KM (2014) Foraging agent swarm optimization with applications in data clustering. In: International conference on swarm intelligence, Springer, pp 230\u2013237","DOI":"10.1007\/978-3-319-09952-1_21"},{"key":"9605_CR17","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.asoc.2015.08.052","volume":"37","author":"A Baykaso\u011flu","year":"2015","unstructured":"Baykaso\u011flu A, Akpinar \u015e (2015) Weighted superposition attraction (WSA): a swarm intelligence algorithm for optimization problems-part 2: constrained optimization. Appl Soft Comput 37:396\u2013415","journal-title":"Appl Soft Comput"},{"key":"9605_CR18","doi-asserted-by":"crossref","unstructured":"Bayraktar Z, Komurcu M, Werner DH (2010) Wind driven optimization (WDO): a novel nature-inspired optimization algorithm and its application to electromagnetics. In: IEEE antennas and propagation society international symposium (APSURSI), 2010, IEEE, pp 1\u20134","DOI":"10.1109\/APS.2010.5562213"},{"issue":"1","key":"9605_CR19","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1023\/A:1015059928466","volume":"1","author":"H-G Beyer","year":"2002","unstructured":"Beyer H-G, Schwefel H-P (2002) Evolution strategies\u2013a comprehensive introduction. Nat Comput 1(1):3\u201352","journal-title":"Nat Comput"},{"issue":"3","key":"9605_CR20","doi-asserted-by":"publisher","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: overview and conceptual comparison. ACM Comput Surv (CSUR) 35(3):268\u2013308","journal-title":"ACM Comput Surv (CSUR)"},{"key":"9605_CR21","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.ins.2013.02.041","volume":"237","author":"I Boussa\u00efd","year":"2013","unstructured":"Boussa\u00efd I, Julien L, Siarry P (2013) A survey on optimization metaheuristics. Inf Sci 237:82\u2013117","journal-title":"Inf Sci"},{"issue":"2","key":"9605_CR22","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1007\/s00500-014-1520-5","volume":"20","author":"A Brabazon","year":"2016","unstructured":"Brabazon A, Cui W, ONeill M (2016) The raven roosting optimisation algorithm. Soft Comput 20(2):525\u2013545","journal-title":"Soft Comput"},{"issue":"4","key":"9605_CR23","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1016\/j.jss.2006.07.009","volume":"80","author":"P Brereton","year":"2007","unstructured":"Brereton P, Kitchenham BA, Budgen D, Turner M, Khalil M (2007) Lessons from applying the systematic literature review process within the software engineering domain. J Syst Softw 80(4):571\u2013583","journal-title":"J Syst Softw"},{"key":"9605_CR24","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/j.measurement.2015.02.052","volume":"68","author":"M Canayaz","year":"2015","unstructured":"Canayaz M, Karc\u0131 A (2015) Investigation of cricket behaviours as evolutionary computation for system design optimization problems. Measurement 68:225\u2013235","journal-title":"Measurement"},{"key":"9605_CR25","unstructured":"Caraveo C, Valdez F, Castillo O (2015) Bio-inspired optimization algorithm based on the self-defense mechanism in plants. In: Mexican international conference on artificial intelligence, Springer, pp 227\u2013237"},{"key":"9605_CR26","doi-asserted-by":"crossref","unstructured":"Chen CC, Tsai YC, Liu II, Lai CC, Yeh YT, Kuo SY, Chou YH (2015) A novel metaheuristic: Jaguar algorithm with learning behavior. In: 2015 IEEE international conference on systems, man, and cybernetics (SMC), IEEE, pp 1595\u20131600","DOI":"10.1109\/SMC.2015.282"},{"key":"9605_CR27","doi-asserted-by":"crossref","unstructured":"Chen MR, Lu YZ, Yang G (2006) Population-based extremal optimization with adaptive l\u00e9vy mutation for constrained optimization. In: 2006 International conference on computational intelligence and security, vol\u00a01, IEEE pp 258\u2013261","DOI":"10.1109\/ICCIAS.2006.294132"},{"key":"9605_CR28","first-page":"12","volume":"2015","author":"S Chetty","year":"2015","unstructured":"Chetty S, Adewumi AO (2015) A study on the enhanced best performance algorithm for the just-in-time scheduling problem. Discret Dyn Nature Soc 2015:12","journal-title":"Discret Dyn Nature Soc"},{"issue":"15","key":"9605_CR29","first-page":"8121","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":"9605_CR30","doi-asserted-by":"crossref","unstructured":"Crawford B, Soto R, Berr\u00edos N, Johnson F, Paredes F, Castro C, Norero E (2015) A binary cat swarm optimization algorithm for the non-unicost set covering problem. Math Probl Eng, 2015","DOI":"10.1155\/2015\/578541"},{"issue":"3","key":"9605_CR31","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1145\/2480741.2480752","volume":"45","author":"M \u010crepin\u0161ek","year":"2013","unstructured":"\u010crepin\u0161ek M, Liu S-H, Mernik M (2013) Exploration and exploitation in evolutionary algorithms: a survey. ACM Comput Surv (CSUR) 45(3):35","journal-title":"ACM Comput Surv (CSUR)"},{"issue":"16","key":"9605_CR32","doi-asserted-by":"publisher","first-page":"6374","DOI":"10.1016\/j.eswa.2013.05.041","volume":"40","author":"E Cuevas","year":"2013","unstructured":"Cuevas E, Cienfuegos M, Zald\u00edvar D, P\u00e9rez-Cisneros M (2013) A swarm optimization algorithm inspired in the behavior of the social-spider. Expert Syst Appl 40(16):6374\u20136384","journal-title":"Expert Syst Appl"},{"key":"9605_CR33","first-page":"25","volume":"2015","author":"E Cuevas","year":"2015","unstructured":"Cuevas E, Gonz\u00e1lez A, Fausto F, Zald\u00edvar D, P\u00e9rez-Cisneros M (2015) Multithreshold segmentation by using an algorithm based on the behavior of locust swarms. Math Probl Eng 2015:25","journal-title":"Math Probl Eng"},{"issue":"14","key":"9605_CR34","doi-asserted-by":"publisher","first-page":"1060","DOI":"10.1002\/jcc.23891","volume":"36","author":"T Dash","year":"2015","unstructured":"Dash T, Sahu PK (2015) Gradient gravitational search: an efficient metaheuristic algorithm for global optimization. J Comput Chem 36(14):1060\u20131068","journal-title":"J Comput Chem"},{"key":"9605_CR35","doi-asserted-by":"crossref","unstructured":"Deb S, Fong S, Tian Z (2015) Elephant search algorithm for optimization problems. In: 2015 Tenth international conference on digital information management (ICDIM), IEEE, pp 249\u2013255","DOI":"10.1109\/ICDIM.2015.7381893"},{"key":"9605_CR36","doi-asserted-by":"crossref","unstructured":"Djenouri Y, Drias H, Habbas Z, Mosteghanemi H (2012) Bees swarm optimization for web association rule mining. In: 2012 IEEE\/WIC\/ACM international conferences on web intelligence and intelligent agent technology (WI-IAT), vol 3, IEEE, pp 142\u2013146","DOI":"10.1109\/WI-IAT.2012.148"},{"key":"9605_CR37","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.ins.2014.08.053","volume":"293","author":"B Doan","year":"2015","unstructured":"Doan B, lmez T (2015) A new metaheuristic for numerical function optimization: vortex search algorithm. Inf Sci 293:125\u2013145","journal-title":"Inf Sci"},{"key":"9605_CR38","unstructured":"Dorigo Marco (1992) Optimization, learning and natural algorithms. Ph. D. Thesis, Politecnico di Milano, Italy"},{"issue":"1","key":"9605_CR39","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/4235.585892","volume":"1","author":"M Dorigo","year":"1997","unstructured":"Dorigo M, Gambardella LM (1997) Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans Evol Comput 1(1):53\u201366","journal-title":"IEEE Trans Evol Comput"},{"issue":"4","key":"9605_CR40","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/MCI.2006.329691","volume":"1","author":"M Dorigo","year":"2006","unstructured":"Dorigo M, Birattari M, Stutzle T (2006) Ant colony optimization. IEEE Comput Intell Mag 1(4):28\u201339","journal-title":"IEEE Comput Intell Mag"},{"issue":"3","key":"9605_CR41","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/BF00939380","volume":"76","author":"QY Duan","year":"1993","unstructured":"Duan QY, Gupta VK, Sorooshian S (1993) Shuffled complex evolution approach for effective and efficient global minimization. J Optim Theory Appl 76(3):501\u2013521","journal-title":"J Optim Theory Appl"},{"key":"9605_CR42","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.ins.2012.06.032","volume":"217","author":"E Duman","year":"2012","unstructured":"Duman E, Uysal M, Alkaya AF (2012) Migrating birds optimization: a new metaheuristic approach and its performance on quadratic assignment problem. Inf Sci 217:65\u201377","journal-title":"Inf Sci"},{"key":"9605_CR43","doi-asserted-by":"crossref","unstructured":"Eberhart RC, Kennedy J (1995) A new optimizer using particle swarm theory. In: Proceedings of the sixth international symposium on micro machine and human science, vol 1, pp 39\u201343. New York, NY","DOI":"10.1109\/MHS.1995.494215"},{"issue":"2","key":"9605_CR44","doi-asserted-by":"publisher","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"},{"issue":"2","key":"9605_CR45","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1080\/03052150500384759","volume":"38","author":"M Eusuff","year":"2006","unstructured":"Eusuff M, Lansey K, Pasha F (2006) Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization. Eng Optim 38(2):129\u2013154","journal-title":"Eng Optim"},{"key":"9605_CR46","first-page":"2","volume":"2016","author":"M Faisal","year":"2016","unstructured":"Faisal M, Mathkour H, Alsulaiman M (2016) AntStar: enhancing optimization problems by integrating an Ant system and A* algorithm. Sci Prog 2016:2","journal-title":"Sci Prog"},{"key":"9605_CR47","doi-asserted-by":"crossref","unstructured":"Feng X, Lau FCM, Gao D (2009) A new bio-inspired approach to the traveling salesman problem. In: International conference on complex sciences, Springer, pp 1310\u20131321","DOI":"10.1007\/978-3-642-02469-6_12"},{"issue":"2","key":"9605_CR48","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/0167-6377(89)90002-3","volume":"8","author":"TA Feo","year":"1989","unstructured":"Feo TA, Resende MGC (1989) A probabilistic heuristic for a computationally difficult set covering problem. Oper Res Lett 8(2):67\u201371","journal-title":"Oper Res Lett"},{"issue":"2","key":"9605_CR49","doi-asserted-by":"publisher","first-page":"1303","DOI":"10.1016\/j.asoc.2012.10.015","volume":"13","author":"V Filipovi\u0107","year":"2013","unstructured":"Filipovi\u0107 V, Kartelj A, Mati\u0107 D (2013) An electromagnetism metaheuristic for solving the maximum betweenness problem. Appl Soft Comput 13(2):1303\u20131313","journal-title":"Appl Soft Comput"},{"key":"9605_CR50","volume-title":"Evolutionary computation in bioinformatics","author":"GB Fogel","year":"2002","unstructured":"Fogel GB, Corne DW (2002) Evolutionary computation in bioinformatics. Morgan Kaufmann, Burlington"},{"key":"9605_CR51","doi-asserted-by":"crossref","DOI":"10.1201\/9781482296426","volume-title":"Markov chain Monte Carlo: stochastic simulation for Bayesian inference","author":"D Gamerman","year":"2006","unstructured":"Gamerman D, Lopes HF (2006) Markov chain Monte Carlo: stochastic simulation for Bayesian inference. CRC Press, Boca Raton"},{"issue":"4","key":"9605_CR52","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.1016\/j.isatra.2014.03.018","volume":"53","author":"AH Gandomi","year":"2014","unstructured":"Gandomi AH (2014) Interior search algorithm (ISA): a novel approach for global optimization. ISA Trans 53(4):1168\u20131183","journal-title":"ISA Trans"},{"key":"9605_CR53","unstructured":"Gao-Ji Sun (2010) A new evolutionary algorithm for global numerical optimization. In: International conference on machine learning and cybernetics (ICMLC), 2010, vol\u00a04, IEEE, pp 1807\u20131810"},{"issue":"2","key":"9605_CR54","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"},{"key":"9605_CR55","unstructured":"Glover F (1997) A template for scatter search and path relinking. In: European conference on artificial evolution, Springer, p 1\u201351"},{"issue":"3","key":"9605_CR56","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1287\/ijoc.1.3.190","volume":"1","author":"F Glover","year":"1989","unstructured":"Glover F (1989) Tabu search\u2013part I. ORSA J Comput 1(3):190\u2013206","journal-title":"ORSA J Comput"},{"key":"9605_CR57","doi-asserted-by":"crossref","unstructured":"Gon\u00e7alves R, Goldbarg MC, Goldbarg EF, Delgado MR (2008) Warping search: a new metaheuristic applied to the protein structure prediction. In: Proceedings of the 10th annual conference on genetic and evolutionary computation, ACM, pp 349\u2013350","DOI":"10.1145\/1389095.1389157"},{"key":"9605_CR58","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/j.compstruc.2015.03.003","volume":"153","author":"MS Gon\u00e7alves","year":"2015","unstructured":"Gon\u00e7alves MS, Lopez RH, Miguel LFF (2015) Search group algorithm: a new metaheuristic method for the optimization of truss structures. Comput Struct 153:165\u2013184","journal-title":"Comput Struct"},{"key":"9605_CR59","doi-asserted-by":"crossref","unstructured":"Gonzalez-Fernandez Y, Chen S (2015) Leaders and followers\u2013a new metaheuristic to avoid the bias of accumulated information. In: IEEE congress on evolutionary computation (CEC), 2015, IEEE, pp 776\u2013783","DOI":"10.1109\/CEC.2015.7256970"},{"key":"9605_CR60","volume-title":"Mathematical programming glossary","author":"HJ Greenberg","year":"2004","unstructured":"Greenberg HJ (2004) Mathematical programming glossary. Greenberg, New York"},{"key":"9605_CR61","doi-asserted-by":"crossref","unstructured":"Gupta K, Deep K (2016) Tournament selection based probability scheme in spider monkey optimization algorithm. In: Harmony search algorithm, Springer, pp 239\u2013250","DOI":"10.1007\/978-3-662-47926-1_23"},{"key":"9605_CR62","unstructured":"Gutowski M (2001) L\u00e9vy flights as an underlying mechanism for global optimization algorithms. arXiv preprint arXiv:math-ph\/0106003v1"},{"issue":"2","key":"9605_CR63","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1007\/s00500-014-1536-x","volume":"20","author":"H Hajipour","year":"2016","unstructured":"Hajipour H, Khormuji HB, Rostami H (2016) ODMA: a novel swarm-evolutionary metaheuristic optimizer inspired by open source development model and communities. Soft Comput 20(2):727\u2013747","journal-title":"Soft Comput"},{"issue":"14","key":"9605_CR64","doi-asserted-by":"publisher","first-page":"3827","DOI":"10.1007\/s00500-016-2033-1","volume":"21","author":"V Haldar","year":"2017","unstructured":"Haldar V, Chakraborty N (2017) A novel evolutionary technique based on electrolocation principle of elephant nose fish and shark: fish electrolocation optimization. Soft Comput 21(14):3827\u20133848","journal-title":"Soft Comput"},{"key":"9605_CR65","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compstruc.2015.03.014","volume":"154","author":"O Hasan\u00e7ebi","year":"2015","unstructured":"Hasan\u00e7ebi O, Azad SK (2015) Adaptive dimensional search: a new metaheuristic algorithm for discrete truss sizing optimization. Comput Struct 154:1\u201316","journal-title":"Comput Struct"},{"key":"9605_CR66","doi-asserted-by":"crossref","unstructured":"He S, Wu QH, Saunders JR (2006) A novel group search optimizer inspired by animal behavioural ecology. In: IEEE congress on evolutionary computation, 2006. CEC 2006, IEEE, pp 1272\u20131278","DOI":"10.1109\/CEC.2006.1688455"},{"issue":"1","key":"9605_CR67","doi-asserted-by":"publisher","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\u201372","journal-title":"Sci Am"},{"key":"9605_CR68","first-page":"10","volume":"2015","author":"Z Huang","year":"2015","unstructured":"Huang Z, Chen Y (2015) Log-linear model based behavior selection method for artificial fish swarm algorithm. Comput Intell Neurosci 2015:10","journal-title":"Comput Intell Neurosci"},{"key":"9605_CR69","doi-asserted-by":"crossref","unstructured":"Iordache S (2010) Consultant-guided search: a new metaheuristic for combinatorial optimization problems. In: Proceedings of the 12th annual conference on genetic and evolutionary computation, ACM, pp 225\u2013232","DOI":"10.1145\/1830483.1830526"},{"key":"9605_CR70","unstructured":"Jahuira CAR (2002) Hybrid genetic algorithm with exact techniques applied to TSP. In: Second international workshop on intelligent systems design and application, Dynamic Publishers, Inc, pp 119\u2013124"},{"key":"9605_CR71","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1016\/j.asoc.2015.02.014","volume":"30","author":"JQ James","year":"2015","unstructured":"James JQ, Li VOK (2015) A social spider algorithm for global optimization. Appl Soft Comput 30:614\u2013627","journal-title":"Appl Soft Comput"},{"issue":"2","key":"9605_CR72","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.swevo.2011.05.001","volume":"1","author":"Y Jin","year":"2011","unstructured":"Jin Y (2011) Surrogate-assisted evolutionary computation: recent advances and future challenges. Swarm Evolut Comput 1(2):61\u201370","journal-title":"Swarm Evolut Comput"},{"issue":"3","key":"9605_CR73","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1016\/j.ejor.2007.07.035","volume":"199","author":"L Jourdan","year":"2009","unstructured":"Jourdan L, Basseur M, Talbi E-G (2009) Hybridizing exact methods and metaheuristics: a taxonomy. Eur J Oper Res 199(3):620\u2013629","journal-title":"Eur J Oper Res"},{"issue":"1","key":"9605_CR74","first-page":"108","volume":"214","author":"D Karaboga","year":"2009","unstructured":"Karaboga D, Akay B (2009) A comparative study of artificial bee colony algorithm. Appl Math Comput 214(1):108\u2013132","journal-title":"Appl Math Comput"},{"key":"9605_CR75","unstructured":"Karaboga D, An idea based on honey bee swarm for numerical optimization. Report, technical report-tr06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005"},{"issue":"6","key":"9605_CR76","doi-asserted-by":"publisher","first-page":"1455","DOI":"10.1007\/s00521-014-1636-7","volume":"25","author":"H Karami","year":"2014","unstructured":"Karami H, Sanjari MJ, Gharehpetian GB (2014) Hyper-spherical search (HSS) algorithm: a novel meta-heuristic algorithm to optimize nonlinear functions. Neural Comput Appl 25(6):1455\u20131465","journal-title":"Neural Comput Appl"},{"issue":"4","key":"9605_CR77","doi-asserted-by":"publisher","first-page":"1269","DOI":"10.1109\/TAP.2010.2041163","volume":"58","author":"S Karimkashi","year":"2010","unstructured":"Karimkashi S, Kishk AA (2010) Invasive weed optimization and its features in electromagnetics. IEEE Trans Antennas Propag 58(4):1269\u20131278","journal-title":"IEEE Trans Antennas Propag"},{"issue":"1","key":"9605_CR78","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.gsf.2014.11.005","volume":"7","author":"AR Kashani","year":"2016","unstructured":"Kashani AR, Gandomi AH, Mousavi M (2016) Imperialistic competitive algorithm: a metaheuristic algorithm for locating the critical slip surface in 2-dimensional soil slopes. Geosci Front 7(1):83\u201389","journal-title":"Geosci Front"},{"issue":"1","key":"9605_CR79","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/s00158-015-1396-8","volume":"54","author":"A Kaveh","year":"2016","unstructured":"Kaveh A, Bakhshpoori T (2016) A new metaheuristic for continuous structural optimization: water evaporation optimization. Struct Multidiscip Optim 54(1):23\u201343","journal-title":"Struct Multidiscip Optim"},{"key":"9605_CR80","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compstruc.2015.11.012","volume":"165","author":"A Kaveh","year":"2016","unstructured":"Kaveh A, Farhoudi N (2016) Dolphin monitoring for enhancing metaheuristic algorithms: layout optimization of braced frames. Comput Struct 165:1\u20139","journal-title":"Comput Struct"},{"key":"9605_CR81","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.compstruc.2012.09.003","volume":"112","author":"A Kaveh","year":"2012","unstructured":"Kaveh A, Khayatazad M (2012) A new meta-heuristic method: ray optimization. Comput Struct 112:283\u2013294","journal-title":"Comput Struct"},{"key":"9605_CR82","doi-asserted-by":"publisher","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"},{"issue":"3","key":"9605_CR83","doi-asserted-by":"publisher","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):267\u2013289","journal-title":"Acta Mech"},{"issue":"1","key":"9605_CR84","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/s00707-012-0745-6","volume":"224","author":"A Kaveh","year":"2013","unstructured":"Kaveh A, Motie MA, Share MM (2013) Magnetic charged system search: a new meta-heuristic algorithm for optimization. Acta Mech 224(1):85\u2013107","journal-title":"Acta Mech"},{"key":"9605_CR85","unstructured":"Keele S (2007) Guidelines for performing systematic literature reviews in software engineering. In: Technical report, Ver. 2.3 EBSE Technical Report. EBSE. sn"},{"issue":"1","key":"9605_CR86","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1051\/ro:2008004","volume":"42","author":"M Khabzaoui","year":"2008","unstructured":"Khabzaoui M, Dhaenens C, Talbi E-G (2008) Combining evolutionary algorithms and exact approaches for multi-objective knowledge discovery. RAIRO-Oper Res 42(1):69\u201383","journal-title":"RAIRO-Oper Res"},{"issue":"6","key":"9605_CR87","first-page":"569","volume":"3","author":"M Khajehzadeh","year":"2011","unstructured":"Khajehzadeh M, Taha MR, Elshafie AHKAN, Eslami M (2011) A survey on meta-heuristic global optimization algorithms. Res J Appl Sci Eng Technol 3(6):569\u2013578","journal-title":"Res J Appl Sci Eng Technol"},{"issue":"4598","key":"9605_CR88","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"SC Kirkpatrick","year":"1983","unstructured":"Kirkpatrick SC, Gelatt D, Vecchi MP et al (1983) Optimization by simulated annealing. Science 220(4598):671\u2013680","journal-title":"Science"},{"key":"9605_CR89","doi-asserted-by":"crossref","unstructured":"Kiruthiga G, Krishnapriya S, Karpagambigai V, Pazhaniraja N, Paul P\u00a0Victer (2015) A novel bio-inspired algorithm based on the foraging behaviour of the bottlenose dolphin. In: 2015 International conference on computation of power, energy information and commuincation (ICCPEIC), IEEE, pp 0209\u20130224","DOI":"10.1109\/ICCPEIC.2015.7259465"},{"key":"9605_CR90","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-20859-1","volume-title":"Computational optimization, methods and algorithms","author":"S Koziel","year":"2011","unstructured":"Koziel S, Yang X-S (2011) Computational optimization, methods and algorithms, vol 356. Springer, New York"},{"key":"9605_CR91","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1016\/j.ins.2015.04.031","volume":"316","author":"RJ Kuo","year":"2015","unstructured":"Kuo RJ, Zulvia FE (2015) The gradient evolution algorithm: a new metaheuristic. Inf Sci 316:246\u2013265","journal-title":"Inf Sci"},{"key":"9605_CR92","first-page":"9","volume":"2015","author":"SX Li","year":"2015","unstructured":"Li SX, Wang JS (2015) Dynamic modeling of steam condenser and design of pi controller based on grey wolf optimizer. Math Probl Eng 2015:9","journal-title":"Math Probl Eng"},{"issue":"6","key":"9605_CR93","doi-asserted-by":"publisher","first-page":"3242","DOI":"10.1016\/j.eswa.2014.11.045","volume":"42","author":"Z-Y Li","year":"2015","unstructured":"Li Z-Y, Li Z, Nguyen TT, Chen SM (2015) Orthogonal chemical reaction optimization algorithm for global numerical optimization problems. Expert Syst Appl 42(6):3242\u20133252","journal-title":"Expert Syst Appl"},{"key":"9605_CR94","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"},{"key":"9605_CR95","first-page":"16","volume":"2014","author":"M Lianbo","year":"2014","unstructured":"Lianbo M, Kunyuan H, Yunlong Z, Hanning C, Maowei H (2014) A novel plant root foraging algorithm for image segmentation problems. Math Probl Eng 2014:16","journal-title":"Math Probl Eng"},{"key":"9605_CR96","doi-asserted-by":"crossref","unstructured":"Liang X, Li W, Liu PP, Zhang Y, Agbo AA (2015) Social network-based swarm optimization algorithm. In: IEEE 12th international conference on networking, sensing and control (ICNSC), 2015, IEEE, pp 360\u2013365","DOI":"10.1109\/ICNSC.2015.7116063"},{"key":"9605_CR97","doi-asserted-by":"crossref","unstructured":"Li K, Tian H (2015) A de-based scatter search for global optimization problems. Discret Dyn Nat Soc, 2015:303125","DOI":"10.1155\/2015\/303125"},{"key":"9605_CR98","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.asoc.2014.10.031","volume":"27","author":"Y Liu","year":"2015","unstructured":"Liu Y, Tian P (2015) A multi-start central force optimization for global optimization. Appl Soft Comput 27:92\u201398","journal-title":"Appl Soft Comput"},{"key":"9605_CR99","first-page":"3242","volume":"2015","author":"W Li","year":"2015","unstructured":"Li W, Wang L, Yao Q, Jiang Q, Yu L, Wang B, Hei X (2015) Cloud particles differential evolution algorithm: a novel optimization method for global numerical optimization. Math Probl Eng 2015:3242\u20133252","journal-title":"Math Probl Eng"},{"key":"9605_CR100","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.ins.2014.10.042","volume":"295","author":"S Mahdavi","year":"2015","unstructured":"Mahdavi S, Shiri ME, Rahnamayan S (2015) Metaheuristics in large-scale global continues optimization: a survey. Inf Sci 295:407\u2013428","journal-title":"Inf Sci"},{"key":"9605_CR101","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.engappai.2016.10.014","volume":"57","author":"PS Mann","year":"2017","unstructured":"Mann PS, Singh S (2017) Improved metaheuristic based energy-efficient clustering protocol for wireless sensor networks. Eng Appl Artif Intell 57:142\u2013152","journal-title":"Eng Appl Artif Intell"},{"key":"9605_CR102","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.swevo.2013.12.003","volume":"15","author":"Y Marinakis","year":"2014","unstructured":"Marinakis Y, Marinaki M (2014) A bumble bees mating optimization algorithm for the open vehicle routing problem. Swarm Evolut Comput 15:80\u201394","journal-title":"Swarm Evolut Comput"},{"key":"9605_CR103","doi-asserted-by":"crossref","unstructured":"Marinakis Y, Marinaki M (2011) A honey bees mating optimization algorithm for the open vehicle routing problem. In: Proceedings of the 13th annual conference on genetic and evolutionary computation, ACM, pp 101\u2013108","DOI":"10.1145\/2001576.2001591"},{"key":"9605_CR104","doi-asserted-by":"crossref","unstructured":"Marinakis Y, Marinaki M, Matsatsinis N (2009) A hybrid bumble bees mating optimization-GRASP algorithm for clustering. In: International conference on hybrid artificial intelligence systems, Springer, pp 549\u2013556","DOI":"10.1007\/978-3-642-02319-4_66"},{"issue":"6","key":"9605_CR105","doi-asserted-by":"publisher","first-page":"859","DOI":"10.1007\/s10732-009-9121-7","volume":"16","author":"D Meignan","year":"2010","unstructured":"Meignan D, Koukam A, Crput J-C (2010) Coalition-based metaheuristic: a self-adaptive metaheuristic using reinforcement learning and mimetism. J Heuristics 16(6):859\u2013879","journal-title":"J Heuristics"},{"key":"9605_CR106","doi-asserted-by":"crossref","unstructured":"Meng X, Liu Y, Gao X, Zhang H (2014) A new bio-inspired algorithm: chicken swarm optimization. In: International conference in swarm intelligence, Springer, pp 86\u201394","DOI":"10.1007\/978-3-319-11857-4_10"},{"key":"9605_CR107","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1016\/j.asoc.2015.04.048","volume":"33","author":"F Merrikh-Bayat","year":"2015","unstructured":"Merrikh-Bayat F (2015) The runner-root algorithm: a metaheuristic for solving unimodal and multimodal optimization problems inspired by runners and roots of plants in nature. Appl Soft Comput 33:292\u2013303","journal-title":"Appl Soft Comput"},{"key":"9605_CR108","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"},{"key":"9605_CR109","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"},{"issue":"11","key":"9605_CR110","doi-asserted-by":"publisher","first-page":"1097","DOI":"10.1016\/S0305-0548(97)00031-2","volume":"24","author":"N Mladenovi","year":"1997","unstructured":"Mladenovi N, Hansen P (1997) Variable neighborhood search. Comput Oper Res 24(11):1097\u20131100","journal-title":"Comput Oper Res"},{"issue":"11","key":"9605_CR111","doi-asserted-by":"publisher","first-page":"1080","DOI":"10.1002\/int.20376","volume":"24","author":"MA Munoz","year":"2009","unstructured":"Munoz MA, L\u00f3pez JA, Caicedo E (2009) An artificial beehive algorithm for continuous optimization. Int J Intell Syst 24(11):1080\u20131093","journal-title":"Int J Intell Syst"},{"key":"9605_CR112","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1016\/j.asoc.2015.10.034","volume":"38","author":"V Muthiah-Nakarajan","year":"2016","unstructured":"Muthiah-Nakarajan V, Noel MM (2016) Galactic swarm optimization: a new global optimization metaheuristic inspired by galactic motion. Appl Soft Comput 38:771\u2013787","journal-title":"Appl Soft Comput"},{"key":"9605_CR113","doi-asserted-by":"crossref","unstructured":"Narayanan A, Moore M (1996) Quantum-inspired genetic algorithms. In: Proceedings of IEEE International conference on evolutionary computation, 1996, IEEE, pp 61\u201366","DOI":"10.1109\/ICEC.1996.542334"},{"issue":"9","key":"9605_CR114","doi-asserted-by":"publisher","first-page":"5442","DOI":"10.1016\/j.apm.2016.01.002","volume":"40","author":"ANK Nasir","year":"2016","unstructured":"Nasir ANK, Raja Ismail RMT, Tokhi MO (2016) Adaptive spiral dynamics metaheuristic algorithm for global optimisation with application to modelling of a flexible system. Appl Math Model 40(9):5442\u20135461","journal-title":"Appl Math Model"},{"key":"9605_CR115","first-page":"28","volume":"2012","author":"B Niu","year":"2012","unstructured":"Niu B, Wang H (2012) Bacterial colony optimization. Discret Dyn Nature Soc 2012:28","journal-title":"Discret Dyn Nature Soc"},{"key":"9605_CR116","unstructured":"Nourddine B (2015) A variable depth search algorithm for binary constraint satisfaction problems. Math Probl Eng, 2015"},{"key":"9605_CR117","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1155\/2016\/1510256","volume":"2016","author":"JB Odili","year":"2016","unstructured":"Odili JB, Kahar MNM (2016) Solving the traveling salesman\u2019s problem using the african buffalo optimization. Comput Intell Neurosci 2016:3","journal-title":"Comput Intell Neurosci"},{"key":"9605_CR118","first-page":"1","volume":"2014","author":"E Osaba","year":"2014","unstructured":"Osaba E, Diaz F, Carballedo R, Onieva E, Perallos A (2014) Focusing on the golden ball metaheuristic: an extended study on a wider set of problems. Sci World J 2014:1\u201317","journal-title":"Sci World J"},{"key":"9605_CR119","doi-asserted-by":"crossref","unstructured":"Osaba E, Diaz F, Onieva E (2013) A novel meta-heuristic based on soccer concepts to solve routing problems. In: Proceedings of the 15th annual conference companion on genetic and evolutionary computation, ACM, pp 1743\u20131744","DOI":"10.1145\/2464576.2480776"},{"key":"9605_CR120","doi-asserted-by":"publisher","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":"9605_CR121","doi-asserted-by":"crossref","unstructured":"Petersen K, Feldt R, Mujtaba S, Mattsson M (2008) Systematic mapping studies in software engineering. In: 12th international conference on evaluation and assessment in software engineering, vol 17","DOI":"10.14236\/ewic\/EASE2008.8"},{"key":"9605_CR122","unstructured":"Pham\u00a0DT, Huynh\u00a0TTB (2015) An effective combination of genetic algorithms and the variable neighborhood search for solving travelling salesman problem. In: 2015 Conference on technologies and applications of artificial intelligence (TAAI), IEEE, pp 142\u2013149"},{"key":"9605_CR123","doi-asserted-by":"crossref","unstructured":"Puchinger J, Raidl GR (2005) Combining metaheuristics and exact algorithms in combinatorial optimization: a survey and classification. In: International work-conference on the interplay between natural and artificial computation, Springer, pp 41\u201353","DOI":"10.1007\/11499305_5"},{"key":"9605_CR124","doi-asserted-by":"crossref","unstructured":"Qin J (2009) A new optimization algorithm and its application key cutting algorithm. In: 2009 IEEE international conference on grey systems and intelligent services (GSIS 2009), IEEE, pp 1537\u20131541","DOI":"10.1109\/GSIS.2009.5408158"},{"key":"9605_CR125","first-page":"287","volume":"248","author":"R Rahmani","year":"2014","unstructured":"Rahmani R, Yusof R (2014) A new simple, fast and efficient algorithm for global optimization over continuous search-space problems: radial movement optimization. Appl Math Comput 248:287\u2013300","journal-title":"Appl Math Comput"},{"issue":"3","key":"9605_CR126","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/j.cad.2010.12.015","volume":"43","author":"RV Rao","year":"2011","unstructured":"Rao RV, Savsani VJ, Vakharia DP (2011) Teaching learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput Aided Des 43(3):303\u2013315","journal-title":"Comput Aided Des"},{"issue":"13","key":"9605_CR127","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":"9605_CR128","unstructured":"Rechenberg I (1994) Evolutionsstrategie: Optimierung technischer systeme nach prinzipien der biologischen evolution. frommann-holzbog, stuttgart, 1973. Step-size adaptation based on non-local use of selection information. In: Parallel problem solving from nature (PPSN3)"},{"issue":"1","key":"9605_CR129","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1134\/S1064230714010109","volume":"53","author":"SI Rodzin","year":"2014","unstructured":"Rodzin SI (2014) Smart dispatching and metaheuristic swarm flow algorithm. J Comput Syst Sci Int 53(1):109\u2013115","journal-title":"J Comput Syst Sci Int"},{"issue":"5","key":"9605_CR130","doi-asserted-by":"publisher","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":"9605_CR131","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/j.asoc.2014.10.042","volume":"27","author":"A Sadollah","year":"2015","unstructured":"Sadollah A, Eskandar H, Kim JH (2015) Water cycle algorithm for solving constrained multi-objective optimization problems. Appl Soft Comput 27:279\u2013298","journal-title":"Appl Soft Comput"},{"key":"9605_CR132","doi-asserted-by":"crossref","unstructured":"Sahli Z, Hamouda A, Bekrar A, Trentesaux D (2014) Hybrid PSO-tabu search for the optimal reactive power dispatch problem. In: IECON 2014-40th annual conference of the IEEE industrial electronics society, IEEE, pp 3536\u20133542","DOI":"10.1109\/IECON.2014.7049024"},{"key":"9605_CR133","doi-asserted-by":"crossref","unstructured":"Salcedo-Sanz S, Del\u00a0Ser J, Landa-Torres I, Gil-Lpez S, Portilla-Figueras JA (2014) The coral reefs optimization algorithm: a novel metaheuristic for efficiently solving optimization problems. Sci World J, 2014","DOI":"10.1155\/2014\/739768"},{"key":"9605_CR134","doi-asserted-by":"publisher","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":"5","key":"9605_CR135","doi-asserted-by":"publisher","first-page":"3951","DOI":"10.1016\/j.apm.2015.10.040","volume":"40","author":"P Savsani","year":"2016","unstructured":"Savsani P, Savsani V (2016) Passing vehicle search (PVS): A novel metaheuristic algorithm. Appl Math Model 40(5):3951\u20133978","journal-title":"Appl Math Model"},{"key":"9605_CR136","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-0348-5927-1","volume-title":"Numerische optimierung von computer-modellen mittels der evolutionsstrategie","author":"H-P Schwefel","year":"1977","unstructured":"Schwefel H-P (1977) Numerische optimierung von computer-modellen mittels der evolutionsstrategie, vol 1. Birkhuser, Basel"},{"issue":"2","key":"9605_CR137","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1108\/17563780810874717","volume":"1","author":"H Shah-Hosseini","year":"2008","unstructured":"Shah-Hosseini H (2008) Intelligent water drops algorithm: a new optimization method for solving the multiple knapsack problem. Int J Intell Comput Cybern 1(2):193\u2013212","journal-title":"Int J Intell Comput Cybern"},{"key":"9605_CR138","doi-asserted-by":"crossref","unstructured":"Sharma MK, Phonrattanasak P, Leeprechanon N (2015) Improved bees algorithm for dynamic economic dispatch considering prohibited operating zones. In: IEEE innovative smart grid technologies-Asia (ISGT ASIA), 2015, IEEE, pp 1\u20136","DOI":"10.1109\/ISGT-Asia.2015.7386972"},{"key":"9605_CR139","first-page":"11","volume":"2014","author":"H Shen","year":"2014","unstructured":"Shen H, Zhu Y, Liang X (2014) Lifecycle-based swarm optimization method for numerical optimization. Discret Dyn Nat Soc 2014:11","journal-title":"Discret Dyn Nat Soc"},{"key":"9605_CR140","doi-asserted-by":"crossref","unstructured":"Shi Y (2011) Brain storm optimization algorithm. In: International conference in swarm intelligence, Springer, pp 303\u2013309","DOI":"10.1007\/978-3-642-21515-5_36"},{"issue":"6","key":"9605_CR141","doi-asserted-by":"publisher","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":"9605_CR142","volume-title":"Principles of random walk","author":"F Spitzer","year":"2013","unstructured":"Spitzer F (2013) Principles of random walk, vol 34. Springer Science & Business Media, New York"},{"issue":"1","key":"9605_CR143","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1111\/itor.12001","volume":"22","author":"K Srensen","year":"2015","unstructured":"Srensen K (2015) Metaheuristicsthe metaphor exposed. Int Trans Oper Res 22(1):3\u201318","journal-title":"Int Trans Oper Res"},{"key":"9605_CR144","doi-asserted-by":"crossref","unstructured":"Srensen K, Maya\u00a0Duque P, Vanovermeire C, Castro M (2012) Metaheuristics for the multimodal optimization of hazmat transports. Secur Asp Uni Multimodal Hazmat Transp Syst, 163\u2013181","DOI":"10.1002\/9783527664818.ch10"},{"key":"9605_CR145","unstructured":"Srensen K, Sevaux M, Glover F (2017) A history of metaheuristics. In: ORBEL29-29th Belgian conference on operations research"},{"issue":"4","key":"9605_CR146","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential evolutiona simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341\u2013359","journal-title":"J Glob Optim"},{"key":"9605_CR147","unstructured":"St\u00fctzle T (1998) Local search algorithms for combinatorial problems. Darmstadt University of Technology Ph.D. Thesis, 20"},{"key":"9605_CR148","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1016\/j.sbspro.2014.03.704","volume":"129","author":"MH Sulaiman","year":"2014","unstructured":"Sulaiman MH, Ibrahim H, Daniyal H, Mohamed MR (2014) A new swarm intelligence approach for optimal chiller loading for energy conservation. Proced-Soc Behav Sci 129:483\u2013488","journal-title":"Proced-Soc Behav Sci"},{"key":"9605_CR149","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1016\/j.asoc.2015.10.047","volume":"38","author":"G Sun","year":"2016","unstructured":"Sun G, Zhao R, Lan Y (2016) Joint operations algorithm for large-scale global optimization. Appl Soft Comput 38:1025\u20131039","journal-title":"Appl Soft Comput"},{"key":"9605_CR150","doi-asserted-by":"crossref","unstructured":"Sur C, Shukla A (2013) New bio-inspired meta-heuristics-green herons optimization algorithm-for optimization of travelling salesman problem and road network. In: International conference on swarm, evolutionary, and memetic computing, Springer, pp 168\u2013179","DOI":"10.1007\/978-3-319-03756-1_15"},{"key":"9605_CR151","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2013\/170914","volume":"2013","author":"TG Tan","year":"2013","unstructured":"Tan TG, Teo J, Chin KO (2013) Single-versus multiobjective optimization for evolution of neural controllers in Ms. Pac-man. Int J Comput Games Technol 2013:1\u20137","journal-title":"Pac-man. Int J Comput Games Technol"},{"key":"9605_CR152","doi-asserted-by":"crossref","unstructured":"Tan Y, Zhu Y (2010) Fireworks algorithm for optimization. In: International conference in swarm intelligence, Springer, pp 355\u2013364","DOI":"10.1007\/978-3-642-13495-1_44"},{"key":"9605_CR153","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1007\/s10462-016-9478-6","volume":"47","author":"J Uddin","year":"2016","unstructured":"Uddin J, Ghazali R, Deris MM, Naseem R, Shah H (2016) A survey on bug prioritization. Artif Intell Rev 47:145\u2013180","journal-title":"Artif Intell Rev"},{"key":"9605_CR154","doi-asserted-by":"publisher","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"},{"key":"9605_CR155","doi-asserted-by":"crossref","unstructured":"Viveros\u00a0Jim\u00e9nez F, Mezura\u00a0Montes E, Gelbukh A (2009) Adaptive evolution: an efficient heuristic for global optimization. In: Proceedings of the 11th annual conference on genetic and evolutionary computation, ACM, pp 1827\u20131828","DOI":"10.1145\/1569901.1570184"},{"issue":"3","key":"9605_CR156","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1016\/j.eswa.2013.08.018","volume":"41","author":"F Viveros-Jim\u00e9nez","year":"2014","unstructured":"Viveros-Jim\u00e9nez F, Le\u00f3n-Borges JA, Cruz-Cort\u00e9s N (2014) An adaptive single-point algorithm for global numerical optimization. Expert Syst Appl 41(3):877\u2013885","journal-title":"Expert Syst Appl"},{"issue":"1","key":"9605_CR157","doi-asserted-by":"publisher","first-page":"110","DOI":"10.4018\/jamc.2010102606","volume":"1","author":"Y Wang","year":"2010","unstructured":"Wang Y (2010) A sociopsychological perspective on collective intelligence in metaheuristic computing. Int J Appl Metaheuristic Comput 1(1):110\u2013128","journal-title":"Int J Appl Metaheuristic Comput"},{"issue":"1","key":"9605_CR158","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.jmatprotec.2005.09.004","volume":"197","author":"H Wang","year":"2008","unstructured":"Wang H, Yao LG, Hua ZZ (2008) Optimization of sheet metal forming processes by adaptive response surface based on intelligent sampling method. J Mater Process Technol 197(1):77\u201388","journal-title":"J Mater Process Technol"},{"key":"9605_CR159","first-page":"9","volume":"2014","author":"R Wang","year":"2014","unstructured":"Wang R, Zhou Y (2014) Flower pollination algorithm with dimension by dimension improvement. Math Probl Eng 2014:9","journal-title":"Math Probl Eng"},{"key":"9605_CR160","first-page":"11","volume":"2013","author":"P Wang","year":"2013","unstructured":"Wang P, Zhu Z, Huang S (2013) Seven-spot ladybird optimization: a novel and efficient metaheuristic algorithm for numerical optimization. Sci World J 2013:11","journal-title":"Sci World J"},{"key":"9605_CR161","unstructured":"Wei Z (2013) A raindrop algorithm for searching the global optimal solution in non-linear programming. arXiv preprint arXiv:1306.2043v1"},{"key":"9605_CR162","unstructured":"Wu HS, Zhang FM (2014) Wolf pack algorithm for unconstrained global optimization. Math Probl Eng, 2014"},{"key":"9605_CR163","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1016\/j.ins.2015.09.051","volume":"329","author":"G Wu","year":"2016","unstructured":"Wu G (2016) Across neighborhood search for numerical optimization. Inf Sci 329:597\u2013618","journal-title":"Inf Sci"},{"key":"9605_CR164","doi-asserted-by":"crossref","unstructured":"Xu Y, Cui Z, Zeng J (2010) Social emotional optimization algorithm for nonlinear constrained optimization problems. In: SEMCCO, Springer, pp 583\u2013590","DOI":"10.1007\/978-3-642-17563-3_68"},{"key":"9605_CR165","unstructured":"Yang XS, Deb S (2009) Cuckoo search via l\u00e9vy flights. In: World congress on nature & biologically inspired computing, 2009. NaBIC 2009, IEEE, pp 210\u2013214"},{"key":"9605_CR166","unstructured":"Yang XS, Deb S, Hanne T, He X (2015) Attraction and diffusion in nature-inspired optimization algorithms. Neural Comput Appl, 1\u20138"},{"key":"9605_CR167","first-page":"79","volume":"20","author":"XS Yang","year":"2008","unstructured":"Yang XS (2008) Nature-inspired metaheuristic algorithms. Firefly Algorithm 20:79\u201390","journal-title":"Firefly Algorithm"},{"key":"9605_CR168","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, New York, pp 65\u201374"},{"key":"9605_CR169","doi-asserted-by":"crossref","unstructured":"Yang XS (2011) Metaheuristic optimization: algorithm analysis and open problems. In: International symposium on experimental algorithms, Springer, pp 21\u201332","DOI":"10.1007\/978-3-642-20662-7_2"},{"key":"9605_CR170","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4172\/2324-9307.1000e101","volume":"1","author":"XS Yang","year":"2012","unstructured":"Yang XS (2012) Nature-inspired metaheuristic algorithms: success and new challenges. J Comput Eng Inf Technol 1:1\u20133","journal-title":"J Comput Eng Inf Technol"},{"issue":"1","key":"9605_CR171","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 Appl 24(1):169\u2013174","journal-title":"Neural Comput Appl"},{"issue":"6","key":"9605_CR172","first-page":"475","volume":"24","author":"F-C Yang","year":"2007","unstructured":"Yang F-C, Wang Y-P (2007) Water flow-like algorithm for object grouping problems. J Chin Inst Ind Eng 24(6):475\u2013488","journal-title":"J Chin Inst Ind Eng"},{"issue":"2","key":"9605_CR173","doi-asserted-by":"publisher","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"},{"issue":"1","key":"9605_CR174","first-page":"24","volume":"3","author":"M Yazdani","year":"2016","unstructured":"Yazdani M, Jolai F (2016) Lion optimization algorithm (LOA): a nature-inspired metaheuristic algorithm. J Comput Des Eng 3(1):24\u201336","journal-title":"J Comput Des Eng"},{"key":"9605_CR175","doi-asserted-by":"crossref","unstructured":"Yeh WC, Chung VYY, Jiang YZ, He X (2015) Solving reliability redundancy allocation problems with orthogonal simplified swarm optimization. In: International joint conference on neural networks (IJCNN), 2015, IEEE, pp 1\u20137","DOI":"10.1109\/IJCNN.2015.7280420"},{"issue":"2","key":"9605_CR176","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1016\/j.ejor.2009.03.035","volume":"201","author":"P-Y Yin","year":"2010","unstructured":"Yin P-Y, Glover F, Laguna M, Zhu J-X (2010) Cyber swarm algorithms-improving particle swarm optimization using adaptive memory strategies. Eur J Oper Res 201(2):377\u2013389","journal-title":"Eur J Oper Res"},{"key":"9605_CR177","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84996-129-5","volume-title":"Introduction to evolutionary algorithms","author":"X Yu","year":"2010","unstructured":"Yu X, Gen M (2010) Introduction to evolutionary algorithms. Springer Science & Business Media, New York"},{"key":"9605_CR178","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.swevo.2015.06.002","volume":"25","author":"I Zelinka","year":"2015","unstructured":"Zelinka I (2015) A survey on evolutionary algorithms dynamics and its complexitymutual relations, past, present and future. Swarm Evolut Comput 25:2\u201314","journal-title":"Swarm Evolut Comput"},{"issue":"3","key":"9605_CR179","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s10732-010-9136-0","volume":"17","author":"G Zhang","year":"2011","unstructured":"Zhang G (2011) Quantum-inspired evolutionary algorithms: a survey and empirical study. J Heuristics 17(3):303\u2013351","journal-title":"J Heuristics"},{"issue":"1","key":"9605_CR180","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s11047-016-9543-8","volume":"16","author":"M-X Zhang","year":"2017","unstructured":"Zhang M-X, Zhang B, Qian N (2017) University course timetabling using a new ecogeography-based optimization algorithm. Nat Comput 16(1):61\u201374","journal-title":"Nat Comput"},{"issue":"3","key":"9605_CR181","first-page":"165","volume":"2","author":"R-Q Zhao","year":"2008","unstructured":"Zhao R-Q, Tang W-S (2008) Monkey algorithm for global numerical optimization. J Uncertain Syst 2(3):165\u2013176","journal-title":"J Uncertain Syst"},{"key":"9605_CR182","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1016\/j.ins.2015.10.001","volume":"329","author":"W Zhao","year":"2016","unstructured":"Zhao W, Wang L (2016) An effective bacterial foraging optimizer for global optimization. Inf Sci 329:719\u2013735","journal-title":"Inf Sci"},{"key":"9605_CR183","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cor.2014.10.008","volume":"55","author":"Y-J Zheng","year":"2015","unstructured":"Zheng Y-J (2015) Water wave optimization: a new nature-inspired metaheuristic. Comput Oper Res 55:1\u201311","journal-title":"Comput Oper Res"},{"issue":"2","key":"9605_CR184","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/jsir.2013040101","volume":"4","author":"W Zhou","year":"2013","unstructured":"Zhou W, Chow TWS, Cheng S, Shi Y (2013) Contour gradient optimization. Int J Swarm Intell Res (IJSIR) 4(2):1\u201328","journal-title":"Int J Swarm Intell Res (IJSIR)"},{"issue":"2","key":"9605_CR185","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1080\/18756891.2013.864476","volume":"7","author":"Y Zhu","year":"2014","unstructured":"Zhu Y, Dai C, Chen W (2014) Seeker optimization algorithm for several practical applications. Int J Comput Intell Syst 7(2):353\u2013359","journal-title":"Int J Comput Intell Syst"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10462-017-9605-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-017-9605-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-017-9605-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T20:57:15Z","timestamp":1751230635000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10462-017-9605-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,13]]},"references-count":185,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["9605"],"URL":"https:\/\/doi.org\/10.1007\/s10462-017-9605-z","relation":{},"ISSN":["0269-2821","1573-7462"],"issn-type":[{"value":"0269-2821","type":"print"},{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,13]]},"assertion":[{"value":"13 January 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}