{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T22:38:43Z","timestamp":1773787123169,"version":"3.50.1"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2017,9,26]],"date-time":"2017-09-26T00:00:00Z","timestamp":1506384000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2018,6]]},"DOI":"10.1007\/s00500-017-2845-7","type":"journal-article","created":{"date-parts":[[2017,9,26]],"date-time":"2017-09-26T05:23:42Z","timestamp":1506403422000},"page":"3857-3878","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["A new metaheuristic algorithm: car tracking optimization algorithm"],"prefix":"10.1007","volume":"22","author":[{"given":"Jian","family":"Chen","sequence":"first","affiliation":[]},{"given":"Hui","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,9,26]]},"reference":[{"key":"2845_CR1","doi-asserted-by":"crossref","first-page":"5047","DOI":"10.1016\/j.ijhydene.2011.01.070","volume":"36","author":"A Askarzadeh","year":"2011","unstructured":"Askarzadeh A, Rezazadeh A (2011) A grouping-based global harmony search algorithm for modeling of proton exchange membrane fuel cell. Int J Hydrogen Energy 36:5047\u20135053","journal-title":"Int J Hydrogen Energy"},{"key":"2845_CR2","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1145\/1150019.1136507","volume":"34","author":"S Choi","year":"2006","unstructured":"Choi S, Yeung D (2006) Learning-based SMT processor resource distribution via hill-climbing. ACM SIGARCH Comput Archit News 34:239\u2013251","journal-title":"ACM SIGARCH Comput Archit News"},{"key":"2845_CR3","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 219:8121\u20138144","journal-title":"Appl Math Comput"},{"key":"2845_CR4","unstructured":"Colorni A, Dorigo M, Maniezzo V et al (1991) Distributed optimization by ant colonies. In: Proceedings of the first European conference on artificial life, pp 134\u2013142"},{"key":"2845_CR5","doi-asserted-by":"crossref","unstructured":"Dai C, Chen W, Ran L et al (2011) Human group optimizer with local search. In: International conference in swarm intelligence, pp 310\u2013320","DOI":"10.1007\/978-3-642-21515-5_37"},{"key":"2845_CR6","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.ins.2014.08.053","volume":"293","author":"B Do\u011fugan","year":"2015","unstructured":"Do\u011fugan B, \u00d6lmez T (2015) A new metaheuristic for numerical function optimization: vortex search algorithm. Inf Sci (Ny) 293:125\u2013145","journal-title":"Inf Sci (Ny)"},{"key":"2845_CR7","unstructured":"Dorigo M, St\u00fctzle T (1999) The ant colony optimization metaheuristic. In: New ideas in optimization, pp 11\u201332"},{"key":"2845_CR8","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 Cybern A Publ IEEE Syst Man Cybern Soc 26:29\u201341","journal-title":"IEEE Trans Syst Man Cybern Part B Cybern A Publ IEEE Syst Man Cybern Soc"},{"key":"2845_CR9","doi-asserted-by":"crossref","unstructured":"Eberhart R, Kennedy J (1995) A new optimizer using particle swarm theory. In: International symposium on micro machine and human science, pp 39\u201343","DOI":"10.1109\/MHS.1995.494215"},{"key":"2845_CR10","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1016\/j.cor.2011.06.007","volume":"39","author":"WF Gao","year":"2012","unstructured":"Gao WF, Liu SY (2012) A modified artificial bee colony algorithm. Comput Oper Res 39:687\u2013697","journal-title":"Comput Oper Res"},{"key":"2845_CR11","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"CD Gelatt","year":"1983","unstructured":"Gelatt CD, Vecchi MP et al (1983) Optimization by simulated annealing. Science 220:671\u2013680","journal-title":"Science"},{"key":"2845_CR12","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/0304-4076(94)90038-8","volume":"60","author":"WL Goffe","year":"1994","unstructured":"Goffe WL, Ferrier GD, Rogers J (1994) Global optimization of statistical functions with simulated annealing. J Econom 60:65\u201399","journal-title":"J Econom"},{"key":"2845_CR13","first-page":"102","volume-title":"Genetic algorithms in search, optimization, and machine learning","author":"DE Golberg","year":"1989","unstructured":"Golberg DE (1989) Genetic algorithms in search, optimization, and machine learning. Addison Wesley, London, p 102"},{"key":"2845_CR14","doi-asserted-by":"crossref","first-page":"541","DOI":"10.2307\/1909768","volume":"34","author":"SM Goldfeld","year":"1966","unstructured":"Goldfeld SM, Quandt RE, Trotter HF (1966) Maximization by quadratic hill-climbing. Econometrica 34:541\u2013551","journal-title":"Econometrica"},{"key":"2845_CR15","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s10489-012-0393-5","volume":"39","author":"M-F Han","year":"2013","unstructured":"Han M-F, Liao S-H, Chang J-Y, Lin C-T (2013) Dynamic group-based differential evolution using a self-adaptive strategy for global optimization problems. Appl Intell 39:41\u201356","journal-title":"Appl Intell"},{"key":"2845_CR16","first-page":"126","volume":"6","author":"JH Holland","year":"1975","unstructured":"Holland JH (1975) Adaptation in natural and artificial systems. Control Artif Intell Univ Michigan Press 6:126\u2013137","journal-title":"Control Artif Intell Univ Michigan Press"},{"key":"2845_CR17","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 214:108\u2013132","journal-title":"Appl Math Comput"},{"key":"2845_CR18","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 39:459\u2013471","journal-title":"J Glob Optim"},{"key":"2845_CR19","first-page":"32","volume":"22","author":"X Li","year":"2002","unstructured":"Li X, Shao Z, Qian J (2002) An optimizing method based on autonomous animats: fish-swarm algorithm. Syst Eng Theory Pract 22:32\u201338","journal-title":"Syst Eng Theory Pract"},{"key":"2845_CR20","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/j.knosys.2012.08.015","volume":"37","author":"H-Z Li","year":"2013","unstructured":"Li H-Z, Guo S, Li C-J, Sun J-Q (2013) A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm. Knowl-Based Syst 37:378\u2013387","journal-title":"Knowl-Based Syst"},{"key":"2845_CR21","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1504\/IJBIC.2016.076633","volume":"8","author":"V Osuna-Enciso","year":"2016","unstructured":"Osuna-Enciso V, Cuevas E, Oliva D et al (2016) A bio-inspired evolutionary algorithm: allostatic optimisation. Int J Bio-Inspired Comput 8:154\u2013169","journal-title":"Int J Bio-Inspired Comput"},{"key":"2845_CR22","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":"2845_CR23","unstructured":"Rechenberg I (1965) Cybernetic solution path of an experimental problem"},{"key":"2845_CR24","doi-asserted-by":"crossref","unstructured":"Shi Y, Eberhart R (1998) Modified particle swarm optimizer. In: IEEE international conference on evolutionary computation proceedings, 1998. IEEE world congress on computational intelligence, pp 69\u201373","DOI":"10.1109\/ICEC.1998.699146"},{"key":"2845_CR25","doi-asserted-by":"crossref","unstructured":"Wang C-R, Zhou C-L, Ma J-W (2005) An improved artificial fish-swarm algorithm and its application in feed-forward neural networks. In: 2005 International conference on machine learning and cybernetics, pp 2890\u20132894","DOI":"10.1109\/ICMLC.2005.1527436"},{"key":"2845_CR26","doi-asserted-by":"crossref","unstructured":"Yang X-S (2010a) A new metaheuristic bat-inspired algorithm. In: Nature inspired cooperative strategies for optimization (NICSO 2010). Springer, pp 65\u201374","DOI":"10.1007\/978-3-642-12538-6_6"},{"key":"2845_CR27","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1504\/IJBIC.2010.032124","volume":"2","author":"X-S Yang","year":"2010","unstructured":"Yang X-S (2010b) Firefly algorithm, stochastic test functions and design optimisation. Int J Bio-Inspired Comput 2:78\u201384","journal-title":"Int J Bio-Inspired Comput"},{"key":"2845_CR28","volume-title":"Nature-inspired metaheuristic algorithms","author":"X-S Yang","year":"2010","unstructured":"Yang X-S (2010c) Nature-inspired metaheuristic algorithms. Luniver Press, Frome"},{"key":"2845_CR29","unstructured":"Yang XS, Deb S (2009) Cuckoo Search via L\u00e9vy flights. In: World congress on nature and biologically inspired computing, 2009. NaBIC 2009, pp 210\u2013214"},{"key":"2845_CR30","first-page":"330","volume":"1","author":"XS Yang","year":"2010","unstructured":"Yang XS, Deb S (2010) Engineering optimisation by cuckoo search. Int J Math Model Numer Optim 1:330\u2013343","journal-title":"Int J Math Model Numer Optim"},{"key":"2845_CR31","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1108\/02644401211235834","volume":"29","author":"X-S Yang","year":"2012","unstructured":"Yang X-S, Hossein Gandomi A (2012) Bat algorithm: a novel approach for global engineering optimization. Eng Comput 29:464\u2013483","journal-title":"Eng Comput"},{"key":"2845_CR32","doi-asserted-by":"crossref","first-page":"1180","DOI":"10.1016\/j.asoc.2011.09.017","volume":"12","author":"XS Yang","year":"2012","unstructured":"Yang XS, Hosseini SSS, Gandomi AH (2012) Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect. Appl Soft Comput 12:1180\u20131186","journal-title":"Appl Soft Comput"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-017-2845-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-017-2845-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-017-2845-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,5,11]],"date-time":"2018-05-11T14:06:34Z","timestamp":1526047594000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-017-2845-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9,26]]},"references-count":32,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2018,6]]}},"alternative-id":["2845"],"URL":"https:\/\/doi.org\/10.1007\/s00500-017-2845-7","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,9,26]]}}}