{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T00:10:57Z","timestamp":1758845457263},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2017,3,4]],"date-time":"2017-03-04T00:00:00Z","timestamp":1488585600000},"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":["Artif Intell Rev"],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1007\/s10462-017-9547-5","type":"journal-article","created":{"date-parts":[[2017,3,4]],"date-time":"2017-03-04T18:51:42Z","timestamp":1488653502000},"page":"383-439","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Empirical analysis of five nature-inspired algorithms on real parameter optimization problems"],"prefix":"10.1007","volume":"50","author":[{"given":"Parul","family":"Agarwal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shikha","family":"Mehta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,3,4]]},"reference":[{"key":"9547_CR1","doi-asserted-by":"crossref","unstructured":"Agarwal P, Mehta S (2014) Nature-inspired algorithms: state-of-art, problems and prospects. Int J Comput Appl 100(14):14\u201321. http:\/\/research.ijcaonline.org\/volume100\/number14\/pxc3898331.pdf","DOI":"10.5120\/17593-8331"},{"key":"9547_CR2","doi-asserted-by":"crossref","unstructured":"Agarwal P, Mehta S (2015) Comparative analysis of nature inspired algorithms on data clustering. In: IEEE international conference on research in computational intelligence and communication networks (ICRCICN), pp 119\u2013124","DOI":"10.1109\/ICRCICN.2015.7434221"},{"issue":"August","key":"9547_CR3","first-page":"1","volume":"7074","author":"P Agarwal","year":"2016","unstructured":"Agarwal P, Mehta S (2016) Enhanced flower pollination algorithm on data clustering. Int J Comput Appl 7074(August):1\u201312","journal-title":"Int J Comput Appl"},{"key":"9547_CR4","doi-asserted-by":"crossref","unstructured":"Akay B, Karaboga D (2009) Parameter tuning for the artificial bee colony algorithm. In: International conference on computational collective intelligence. Springer, Heidelberg, pp 608\u2013619","DOI":"10.1007\/978-3-642-04441-0_53"},{"key":"9547_CR5","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.ins.2010.07.015","volume":"192","author":"B Akay","year":"2012","unstructured":"Akay B, Karaboga D (2012) A modified artificial bee colony algorithm for real-parameter optimization. Inf Sci 192:120\u2013142. doi: 10.1016\/j.ins.2010.07.015","journal-title":"Inf Sci"},{"key":"9547_CR6","doi-asserted-by":"crossref","unstructured":"Alsariera YA et al (2014) Comparative performance analysis of bat algorithm and bacterial foraging optimization algorithm using standard benchmark functions. In: Software engineering conference (MySEC), 2014 8th Malaysian, pp 295\u2013300","DOI":"10.1109\/MySec.2014.6986032"},{"key":"9547_CR7","doi-asserted-by":"crossref","unstructured":"Banati H, Mehta S (2012) SEVO: bio-inspired analytical tool for uni-modal and multimodal optimization. In: Proceedings of the international conference, pp 557\u2013566","DOI":"10.1007\/978-81-322-0487-9_54"},{"issue":"1\/2","key":"9547_CR8","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1504\/IJAIP.2013.054670","volume":"5","author":"H Banati","year":"2013","unstructured":"Banati H, Mehta S (2013) Improved shuffled frog leaping algorithm for continuous optimisation adapted SEVO toolbox. Int J Adv Intell Paradig 5(1\/2):31\u201344","journal-title":"Int J Adv Intell Paradig"},{"key":"9547_CR9","doi-asserted-by":"publisher","unstructured":"Civicioglu P, Besdok E (2011) A conception comparison of the cuckoo search, particle swarm optimization, differential evolution and artificial bee colony algorithms. Artif Intell Rev. doi: 10.1007\/s10462-011-92760","DOI":"10.1007\/s10462-011-92760"},{"issue":"October","key":"9547_CR10","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1016\/j.asoc.2015.05.015","volume":"34","author":"A Draa","year":"2015","unstructured":"Draa A (2015) On the performances of the flower pollination algorithm\u2014qualitative and quantitative analyses. Appl Soft Comput J 34(October):349\u2013371","journal-title":"Appl Soft Comput J"},{"issue":"3","key":"9547_CR11","first-page":"1","volume":"80","author":"I Fister","year":"2013","unstructured":"Fister I, Yang X-S, Fister I et al (2013a) A brief review of nature-inspired algorithms for optimization. Elektrotehni Ski Vestnik 80(3):1\u20137","journal-title":"Elektrotehni Ski Vestnik"},{"issue":"1\u20132","key":"9547_CR12","first-page":"1","volume":"80","author":"I Fister","year":"2013","unstructured":"Fister I, Fister D, Yang XS (2013c) A hybrid bat algorithm. Electrotech Rev 80(1\u20132):1\u20137","journal-title":"Electrotech Rev"},{"key":"9547_CR13","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.swevo.2013.06.001","volume":"13","author":"I Fister","year":"2013","unstructured":"Fister I, Yang XS, Brest J (2013d) A comprehensive review of firefly algorithms. Swarm Evol Comput 13:34\u201346","journal-title":"Swarm Evol Comput"},{"key":"9547_CR14","doi-asserted-by":"crossref","unstructured":"Fister I, Yang X-S, Brest J et al (2013b) Memetic self-adaptive firefly algorithm. In: Swarm intelligence and bio-inspired computation, pp 73\u2013101","DOI":"10.1016\/B978-0-12-405163-8.00004-1"},{"key":"9547_CR15","unstructured":"Hashmi A et al (2013) Comparative study of bio-inspired algorithms for unconstrained optimization problems. In: International conference on advances in electronics, electrical and computer engineering, pp 978\u2013981"},{"issue":"1","key":"9547_CR16","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.amc.2009.03.090","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. doi: 10.1016\/j.amc.2009.03.090","journal-title":"Appl Math Comput"},{"issue":"3","key":"9547_CR17","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Glob Optim 39(3):459\u2013471","journal-title":"J Glob Optim"},{"issue":"1","key":"9547_CR18","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 J 8(1):687\u2013697","journal-title":"Appl Soft Comput J"},{"key":"9547_CR19","unstructured":"Khaze S, Hojjatkhah S, Bagherinia A (2013) Evaluation the efficiency of artificial bee colony and the firefly algorithm in solving the continuous optimization problem 3(4):23\u201335. arXiv:1310.7961"},{"key":"9547_CR20","unstructured":"Liang JJ et al (2014) Problem definitions and evaluation criteria for the CEC 2014 special session and competition on single objective real-parameter numerical optimization. http:\/\/web.mysites.ntu.edu.sg\/epnsugan\/PublicSite\/SharedDocuments\/CEC-2015\/Learning-BasedSingleObjectiveOptimization\/DefinitionsofCEC2015benchmarklearning-based20141228.pdf , http:\/\/web.mysites.ntu.edu.sg\/epnsugan\/PublicSite\/SharedDocuments\/Form"},{"key":"9547_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2016.03.001","author":"U Mlakar","year":"2015","unstructured":"Mlakar U, Fister I, Fister I (2015) Hybrid self-adaptive cuckoo search for global optimization. Swarm Evol Comput. doi: 10.1016\/j.swevo.2016.03.001","journal-title":"Swarm Evol Comput"},{"key":"9547_CR22","doi-asserted-by":"crossref","first-page":"1830","DOI":"10.1016\/j.jcp.2007.06.008","volume":"226","author":"I Pavlyukevich","year":"2007","unstructured":"Pavlyukevich I (2007) L\u00e9vy flight, non local search and simulated annealing. J Comput Phys 226:1830\u20131844","journal-title":"J Comput Phys"},{"issue":"5","key":"9547_CR23","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1007\/s00500-013-1104-9","volume":"18","author":"DT Pham","year":"2014","unstructured":"Pham DT, Castellani M (2014) Benchmarking and comparison of nature-inspired population-based continuous optimisation algorithms. Soft Comput 18(5):871\u2013903","journal-title":"Soft Comput"},{"issue":"3","key":"9547_CR24","first-page":"35","volume":"6","author":"GP Singh","year":"2014","unstructured":"Singh GP, Singh A (2014) Comparative study of Krill Herd, firefly and cuckoo search algorithms for unimodal and multimodal optimization. Int J Intell Syst Appl 6(3):35\u201349","journal-title":"Int J Intell Syst Appl"},{"key":"9547_CR25","unstructured":"Suganthan PN et al (2005) Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization. Technical report, Nanyang Technological University, Singapore And KanGAL report number 2005005 (Kanpur Genetic Algorithms Laboratory, IIT Kanpur), (May), pp 251\u2013256"},{"key":"9547_CR26","doi-asserted-by":"crossref","unstructured":"Yang X (2010a) A new metaheuristic bat-inspired algorithm. In: Nicso 2010, studies in computational intelligence. Springer Berlin, vol 284, pp 65\u201374","DOI":"10.1007\/978-3-642-12538-6_6"},{"key":"9547_CR27","unstructured":"Yang X-S. Cuckoo search (CS) algorithm"},{"key":"9547_CR28","doi-asserted-by":"crossref","unstructured":"Yang XS, Deb S (2009) Cuckoo search via L\u2019evy flights. In: Proc. of World Congress on Nature & Biologically Inspired Computing (NaBIC 2009), December 2009, India. IEEE Publications, USA, pp. 210\u2013214","DOI":"10.1109\/NABIC.2009.5393690"},{"key":"9547_CR29","doi-asserted-by":"crossref","unstructured":"Yang X-S (2009) Firefly algorithms for multimodal optimization. In: Proceedings of the 5th international conference on stochastic algorithms: foundations and applications, vol 5792, pp 169\u2013178","DOI":"10.1007\/978-3-642-04944-6_14"},{"key":"9547_CR30","unstructured":"Yang X-S (2013) Flower pollination algorithm for global optimization. In: Unconventional computation and natural computation 2012. Lecture notes in computer science, vol 7445, pp 240\u2013249. http:\/\/arxiv.org\/abs\/1312.5673"},{"issue":"2","key":"9547_CR31","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 optimization. Int J Bio-Inspired Comput 2(2):78\u201384","journal-title":"Int J Bio-Inspired Comput"},{"key":"9547_CR32","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1007\/978-3-319-02141-6","volume-title":"Cuckoo search and firefly algorithm","author":"X-S Yang","year":"2014","unstructured":"Yang X-S (2014) Cuckoo search and firefly algorithm, vol 516. Springer, New York, pp 315\u2013330"},{"issue":"4","key":"9547_CR33","first-page":"330","volume":"1","author":"X-S Yang","year":"2010","unstructured":"Yang X-S, Deb S (2010) Engineering optimisation by cuckoo search. Int J Math Model Numer Optim 1(4):330\u2013343","journal-title":"Int J Math Model Numer Optim"},{"issue":"3","key":"9547_CR34","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1504\/IJBIC.2013.055093","volume":"5","author":"X-S Yang","year":"2013","unstructured":"Yang X-S, He X (2013) Bat algorithm: literature review and applications. Int J Bio-Inspired Comput 5(3):141\u2013149","journal-title":"Int J Bio-Inspired Comput"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10462-017-9547-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-017-9547-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-017-9547-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,19]],"date-time":"2019-09-19T09:14:35Z","timestamp":1568884475000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10462-017-9547-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,4]]},"references-count":34,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,10]]}},"alternative-id":["9547"],"URL":"https:\/\/doi.org\/10.1007\/s10462-017-9547-5","relation":{},"ISSN":["0269-2821","1573-7462"],"issn-type":[{"value":"0269-2821","type":"print"},{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,3,4]]}}}