{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T18:23:58Z","timestamp":1778178238229,"version":"3.51.4"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2014,4,24]],"date-time":"2014-04-24T00:00:00Z","timestamp":1398297600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2014,10]]},"DOI":"10.1007\/s00521-014-1597-x","type":"journal-article","created":{"date-parts":[[2014,4,23]],"date-time":"2014-04-23T18:13:52Z","timestamp":1398276832000},"page":"1077-1097","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":320,"title":["Biogeography-based optimisation with chaos"],"prefix":"10.1007","volume":"25","author":[{"given":"Shahrzad","family":"Saremi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seyedali","family":"Mirjalili","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Lewis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,4,24]]},"reference":[{"key":"1597_CR1","volume-title":"Holland, adaptation in natural and artificial systems","author":"H John","year":"1992","unstructured":"John H (1992) Holland, adaptation in natural and artificial systems. MIT Press, Cambridge, MA"},{"key":"1597_CR2","volume-title":"Differential evolution","author":"KV Price","year":"1997","unstructured":"Price KV, Storn RM, Lampinen JA (1997) Differential evolution. Springer, Berlin"},{"key":"1597_CR3","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 3:82\u2013102","journal-title":"IEEE Trans Evol Comput"},{"key":"1597_CR4","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1109\/5254.846288","volume":"15","author":"W Banzhaf","year":"2000","unstructured":"Banzhaf W, Koza J, Ryan C, Spector L, Jacob C (2000) Genetic programming. IEEE Intell Syst Appl 15:74\u201384","journal-title":"IEEE Intell Syst Appl"},{"key":"1597_CR5","doi-asserted-by":"crossref","first-page":"4831","DOI":"10.1016\/j.cnsns.2012.05.010","volume":"17","author":"AH Gandomi","year":"2012","unstructured":"Gandomi AH, Alavi AH (2012) Krill herd: a new bio-inspired optimization algorithm. Commun Nonlinear Sci Numer Simul 17:4831\u20134845","journal-title":"Commun Nonlinear Sci Numer Simul"},{"key":"1597_CR6","doi-asserted-by":"crossref","unstructured":"Guo L, Wang G-G, Gandomi AH, Alavi AH, Duan H (2014) A new improved krill herd algorithm for global numerical optimization. Neurocomputing. doi: 10.1016\/j.neucom.2014.01.023","DOI":"10.1016\/j.neucom.2014.01.023"},{"key":"1597_CR7","doi-asserted-by":"crossref","unstructured":"Wang G, Guo L, Wang H, Duan H, Liu L, Li J (2014) Incorporating mutation scheme into krill herd algorithm for global numerical optimization. Neural Comput Appl 24(3-4):853\u2013871. doi: 10.1007\/s00521-012-1304-8","DOI":"10.1007\/s00521-012-1304-8"},{"key":"1597_CR8","first-page":"9","volume":"42","author":"G-G Wang","year":"2013","unstructured":"Wang G-G, Gandomi AH, Alavi AH (2013) A chaotic particle-swarm krill herd algorithm for global numerical optimization. Kybernetes 42:9","journal-title":"Kybernetes"},{"key":"1597_CR9","doi-asserted-by":"crossref","unstructured":"Wang G-G, Gandomi AH, Alavi AH (2013) An effective krill herd algorithm with migration operator in biogeography-based optimization. Appl Math Model. doi: 10.1016\/j.apm.2013.10.052","DOI":"10.1016\/j.apm.2013.10.052"},{"key":"1597_CR10","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/j.neucom.2013.08.031","volume":"128","author":"G-G Wang","year":"2014","unstructured":"Wang G-G, Gandomi AH, Alavi AH (2014) Stud krill herd algorithm. Neurocomputing 128:363\u2013370","journal-title":"Neurocomputing"},{"key":"1597_CR11","doi-asserted-by":"crossref","unstructured":"Wang G-G, Gandomi AH, Alavi AH, Hao G-S (2013) Hybrid krill herd algorithm with differential evolution for global numerical optimization. Neural Comput Appl 1\u201312. doi: 10.1007\/s00521-013-1485-9","DOI":"10.1007\/s00521-013-1485-9"},{"key":"1597_CR12","doi-asserted-by":"crossref","first-page":"11125","DOI":"10.1016\/j.amc.2012.04.069","volume":"218","author":"S Mirjalili","year":"2012","unstructured":"Mirjalili S, Mohd Hashim SZ, Moradian Sardroudi H (2012) Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm. Appl Math Comput 218:11125\u201311137","journal-title":"Appl Math Comput"},{"key":"1597_CR13","unstructured":"Mirjalili S, Lewis A, Mirjalili SM (2014) Adaptive gbest-guided gravitational search algorithm. Neural Comput Appl 1\u201319. doi: 10.1007\/s00521-014-1585-1"},{"key":"1597_CR14","doi-asserted-by":"crossref","DOI":"10.7208\/chicago\/9780226429823.001.0001","volume-title":"In the wake of chaos: unpredictable order in dynamical systems","author":"SH Kellert","year":"1993","unstructured":"Kellert SH (1993) In the wake of chaos: unpredictable order in dynamical systems. University of Chicago Press, Chicago"},{"key":"1597_CR15","first-page":"1","volume":"5","author":"N Wang","year":"2001","unstructured":"Wang N, Liu L, Liu L (2001) Genetic algorithm in chaos. OR Trans 5:1\u201310","journal-title":"OR Trans"},{"key":"1597_CR16","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1088\/0253-6102\/38\/2\/168","volume":"38","author":"L-J Yang","year":"2002","unstructured":"Yang L-J, Chen T-L (2002) Application of chaos in genetic algorithms. Commun Theor Phys 38:168\u2013172","journal-title":"Commun Theor Phys"},{"key":"1597_CR17","doi-asserted-by":"crossref","unstructured":"Jothiprakash V, Arunkumar R (2013) Optimization of hydropower reservoir using evolutionary algorithms coupled with chaos. Water Resour Manag 27(7):1963\u20131979. doi: 10.1007\/s11269-013-0265-8","DOI":"10.1007\/s11269-013-0265-8"},{"key":"1597_CR18","doi-asserted-by":"crossref","unstructured":"Zhenyu G, Bo C, Min Y, Binggang C (2006) Self-adaptive chaos differential evolution. In: Jiao L, Wang L, Gao X, Liu J, Wu F (eds) Advances in natural computation. Lecture notes in computer science, vol 4221. Springer, Berlin, Heidelberg, pp 972\u2013975","DOI":"10.1007\/11881070_128"},{"key":"1597_CR19","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.protcy.2013.12.473","volume":"12","author":"S Saremi","year":"2014","unstructured":"Saremi S, Mirjalili SM, Mirjalili S (2014) Chaotic Krill herd optimization algorithm. Procedia Technol 12:180\u2013185","journal-title":"Procedia Technol"},{"key":"1597_CR20","doi-asserted-by":"crossref","unstructured":"Wang G-G, Guo L, Gandomi AH, Hao G-S, Wang H (2014) Chaotic Krill herd algorithm. Inf Sci. doi: 10.1016\/j.ins.2014.02.123","DOI":"10.1016\/j.ins.2014.02.123"},{"key":"1597_CR21","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 12:702\u2013713","journal-title":"IEEE Trans Evol Comput"},{"key":"1597_CR22","doi-asserted-by":"crossref","unstructured":"Du D, Simon D, Ergezer M (2009) Biogeography-based optimization combined with evolutionary strategy and immigration refusal. In: IEEE international conference on systems, man and cybernetics 2009, SMC 2009, pp 997\u20131002","DOI":"10.1109\/ICSMC.2009.5346055"},{"key":"1597_CR23","doi-asserted-by":"crossref","first-page":"1955","DOI":"10.1109\/TPWRS.2010.2043270","volume":"25","author":"A Bhattacharya","year":"2010","unstructured":"Bhattacharya A, Chattopadhyay PK (2010) Hybrid differential evolution with biogeography-based optimization for solution of economic load dispatch. IEEE Trans Power Syst 25:1955\u20131964","journal-title":"IEEE Trans Power Syst"},{"key":"1597_CR24","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1007\/s00500-010-0591-1","volume":"15","author":"W Gong","year":"2010","unstructured":"Gong W, Cai Z, Ling CX (2010) DE\/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization. Soft Comput 15:645\u2013665","journal-title":"Soft Comput"},{"key":"1597_CR25","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1016\/j.engappai.2010.08.005","volume":"24","author":"H Ma","year":"2011","unstructured":"Ma H, Simon D (2011) Blended biogeography-based optimization for constrained optimization. Eng Appl Artif Intell 24:517\u2013525","journal-title":"Eng Appl Artif Intell"},{"key":"1597_CR26","doi-asserted-by":"crossref","first-page":"2347","DOI":"10.1109\/TVT.2011.2151215","volume":"60","author":"I Boussaid","year":"2011","unstructured":"Boussaid I, Chatterjee A, Siarry P, Ahmed-Nacer M (2011) Hybridizing biogeography-based optimization with differential evolution for optimal power allocation in wireless sensor networks. IEEE Trans Veh Technol 60:2347\u20132353","journal-title":"IEEE Trans Veh Technol"},{"key":"1597_CR27","doi-asserted-by":"crossref","first-page":"1188","DOI":"10.1016\/j.cor.2010.11.004","volume":"38","author":"I Boussa\u00efd","year":"2011","unstructured":"Boussa\u00efd I, Chatterjee A, Siarry P, Ahmed-Nacer M (2011) Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO). Comput Oper Res 38:1188\u20131198","journal-title":"Comput Oper Res"},{"key":"1597_CR28","doi-asserted-by":"crossref","first-page":"3293","DOI":"10.1016\/j.cor.2012.04.012","volume":"39","author":"I Boussa\u00efd","year":"2012","unstructured":"Boussa\u00efd I, Chatterjee A, Siarry P, Ahmed-Nacer M (2012) Biogeography-based optimization for constrained optimization problems. Comput Oper Res 39:3293\u20133304","journal-title":"Comput Oper Res"},{"key":"1597_CR29","doi-asserted-by":"crossref","first-page":"1698","DOI":"10.1016\/j.engappai.2012.02.007","volume":"25","author":"A Chatterjee","year":"2012","unstructured":"Chatterjee A, Siarry P, Nakib A, Blanc R (2012) An improved biogeography based optimization approach for segmentation of human head CT-scan images employing fuzzy entropy. Eng Appl Artif Intell 25:1698\u20131709","journal-title":"Eng Appl Artif Intell"},{"key":"1597_CR30","doi-asserted-by":"crossref","first-page":"655","DOI":"10.7763\/IJCCE.2013.V2.268","volume":"2","author":"S Saremi","year":"2013","unstructured":"Saremi S, Mirjalili S (2013) Integrating chaos to biogeography-based optimization algorithm. Int J Comput Commun Eng 2:655\u2013658","journal-title":"Int J Comput Commun Eng"},{"key":"1597_CR31","doi-asserted-by":"crossref","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Let a biogeography-based optimizer train your multi-layer perceptron. Inf Sci 269:188\u2013209. doi: 10.1016\/j.ins.2014.01.038","DOI":"10.1016\/j.ins.2014.01.038"},{"key":"1597_CR32","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.cnsns.2012.06.009","volume":"18","author":"A Gandomi","year":"2013","unstructured":"Gandomi A, Yang X-S, Talatahari S, Alavi A (2013) Firefly algorithm with chaos. Commun Nonlinear Sci Numer Simul 18:89\u201398","journal-title":"Commun Nonlinear Sci Numer Simul"},{"key":"1597_CR33","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1080\/00207160108805080","volume":"77","author":"J Digalakis","year":"2001","unstructured":"Digalakis J, Margaritis K (2001) On benchmarking functions for genetic algorithms. Int J Comput Math 77:481\u2013506","journal-title":"Int J Comput Math"},{"key":"1597_CR34","doi-asserted-by":"crossref","unstructured":"Mirjalili S, Hashim SZM (2010) A new hybrid PSOGSA algorithm for function optimization. In: 2010 International conference on computer and information application (ICCIA), pp 374\u2013377","DOI":"10.1109\/ICCIA.2010.6141614"},{"key":"1597_CR35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2012.09.002","volume":"9","author":"S Mirjalili","year":"2013","unstructured":"Mirjalili S, Lewis A (2013) S-shaped versus V-shaped transfer functions for binary particle swarm optimization. Swarm Evol Comput 9:1\u201314","journal-title":"Swarm Evol Comput"},{"key":"1597_CR36","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":"1597_CR37","doi-asserted-by":"crossref","unstructured":"Mirjalili S, Mirjalili SM, Yang X-S (2013) Binary bat algorithm. Neural Comput Appl 1\u201319. doi: 10.1007\/s00521-013-1525-5","DOI":"10.1007\/s00521-013-1525-5"},{"key":"1597_CR38","unstructured":"Mirjalili S, Hashim SM (2011) BMOA: binary magnetic optimization algorithm. In: 2011 3rd International conference on machine learning and computing (ICMLC 2011), Singapore, pp 201\u2013206"},{"key":"1597_CR39","doi-asserted-by":"crossref","unstructured":"Derrac J, Garc\u00eda S, Molina D, Herrera F (2011) A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol Comput 1(1):3\u201318. doi: 10.1016\/j.swevo.2011.02.002","DOI":"10.1016\/j.swevo.2011.02.002"},{"key":"1597_CR40","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1007\/s10732-008-9080-4","volume":"15","author":"S Garc\u00eda","year":"2009","unstructured":"Garc\u00eda S, Molina D, Lozano M, Herrera F (2009) A study on the use of non-parametric tests for analyzing the evolutionary algorithms\u2019 behaviour: a case study on the CEC\u20192005 special session on real parameter optimization. J Heuristics 15:617\u2013644","journal-title":"J Heuristics"},{"key":"1597_CR41","doi-asserted-by":"crossref","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon F (1945) Individual comparisons by ranking methods. Biom Bull 1:80\u201383","journal-title":"Biom Bull"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-014-1597-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-014-1597-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-014-1597-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,9]],"date-time":"2019-08-09T20:57:38Z","timestamp":1565384258000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-014-1597-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,4,24]]},"references-count":41,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2014,10]]}},"alternative-id":["1597"],"URL":"https:\/\/doi.org\/10.1007\/s00521-014-1597-x","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,4,24]]}}}