{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T00:53:30Z","timestamp":1723251210219},"reference-count":49,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Sciences"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1016\/j.ins.2019.07.054","type":"journal-article","created":{"date-parts":[[2019,7,15]],"date-time":"2019-07-15T10:58:42Z","timestamp":1563188322000},"page":"178-201","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":18,"special_numbering":"C","title":["NBBO: A new variant of biogeography-based optimization with a novel framework and a two-phase migration operator"],"prefix":"10.1016","volume":"504","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-6668-3535","authenticated-orcid":false,"given":"Ali","family":"Reihanian","sequence":"first","affiliation":[]},{"given":"Mohammad-Reza","family":"Feizi-Derakhshi","sequence":"additional","affiliation":[]},{"given":"Hadi S.","family":"Aghdasi","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ins.2019.07.054_bib0001","unstructured":"Friedman Test in SPSS Statistics - How to run the procedure, understand the output using a relevant example | Laerd statistics., in: https:\/\/statistics.laerd.com\/spss-tutorials\/friedman-test-using-spss-statistics.php."},{"key":"10.1016\/j.ins.2019.07.054_bib0002","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.ins.2016.03.051","article-title":"Metropolis biogeography-based optimization","volume":"360","author":"Al-Roomi","year":"2016","journal-title":"Inf. Sci. (Ny)"},{"key":"10.1016\/j.ins.2019.07.054_bib0003","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.knosys.2013.01.004","article-title":"Community detection in complex networks: multi\u2013objective enhanced firefly algorithm","volume":"46","author":"Amiri","year":"2013","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.ins.2019.07.054_bib0004","doi-asserted-by":"crossref","first-page":"131","DOI":"10.2991\/ijcis.2018.25905187","article-title":"An improved chaotic firefly algorithm for global numerical optimization","volume":"12","author":"Brajevi\u0107","year":"2018","journal-title":"Int. J. Comp. Intell. Syst."},{"key":"10.1016\/j.ins.2019.07.054_bib0005","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1109\/TEVC.2006.872133","article-title":"Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems","volume":"10","author":"Brest","year":"2006","journal-title":"IEEE Trans. Evol. Comp."},{"key":"10.1016\/j.ins.2019.07.054_bib0006","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1016\/j.asoc.2010.04.008","article-title":"A clustering-based differential evolution for global optimization","volume":"11","author":"Cai","year":"2011","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.ins.2019.07.054_bib0007","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.asoc.2016.04.022","article-title":"Biogeography-based optimization with covariance matrix based migration","volume":"45","author":"Chen","year":"2016","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.ins.2019.07.054_bib0008","first-page":"35","article-title":"Exploration and exploitation in evolutionary algorithms: a survey","volume":"45","author":"\u010crepin\u0161ek","year":"2013","journal-title":"ACM Comp. Surv. (CSUR)"},{"key":"10.1016\/j.ins.2019.07.054_bib0009","series-title":"Optimization, learning and natural algorithms","author":"Dorigo","year":"1992"},{"key":"10.1016\/j.ins.2019.07.054_bib0010","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1007\/BF00939380","article-title":"Shuffled complex evolution approach for effective and efficient global minimization","volume":"76","author":"Duan","year":"1993","journal-title":"J. Optim. Theo. Appl."},{"key":"10.1016\/j.ins.2019.07.054_bib0011","series-title":"Introduction to Evolutionary Computing","author":"Eiben","year":"2010"},{"key":"10.1016\/j.ins.2019.07.054_bib0012","series-title":"SMC 2009. IEEE International Conference on","first-page":"1009","article-title":"Oppositional biogeography-based optimization, in: systems, man and cybernetics, 2009","author":"Ergezer","year":"2009"},{"key":"10.1016\/j.ins.2019.07.054_bib0013","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1080\/03052150500384759","article-title":"Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization","volume":"38","author":"Eusuff","year":"2006","journal-title":"Eng. Optimiz."},{"key":"10.1016\/j.ins.2019.07.054_bib0014","doi-asserted-by":"crossref","DOI":"10.1155\/2013\/353969","article-title":"Biogeography-based optimization with orthogonal crossover","volume":"2013","author":"Feng","year":"2013","journal-title":"Math. Prob. Eng."},{"issue":"2","key":"10.1016\/j.ins.2019.07.054_bib0015","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1007\/s10489-014-0527-z","article-title":"Biogeography-based optimization with improved migration operator and self-adaptive clear duplicate operator","volume":"41","author":"Feng","year":"2014","journal-title":"Appl. Intell."},{"key":"10.1016\/j.ins.2019.07.054_bib0016","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.asoc.2015.10.070","article-title":"Enhanced artificial bee colony algorithm through differential evolution","volume":"48","author":"Gao","year":"2016","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.ins.2019.07.054_bib0017","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1007\/s00500-010-0591-1","article-title":"DE\/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization","volume":"15","author":"Gong","year":"2010","journal-title":"Soft Comput."},{"key":"10.1016\/j.ins.2019.07.054_bib0018","first-page":"2749","article-title":"A real-coded biogeography-based optimization with mutation","volume":"216","author":"Gong","year":"2010","journal-title":"Appl. Math. Comput."},{"key":"10.1016\/j.ins.2019.07.054_bib0019","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1162\/106365601750190398","article-title":"Completely derandomized self-adaptation in evolution strategies","volume":"9","author":"Hansen","year":"2001","journal-title":"Evol. Comput."},{"key":"10.1016\/j.ins.2019.07.054_bib0020","series-title":"IEEE International Joint Conference on Neural Networks","first-page":"1942","article-title":"Particle swarm optimization","author":"Kennedy","year":"1995"},{"key":"10.1016\/j.ins.2019.07.054_bib0021","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1016\/j.ijepes.2015.11.022","article-title":"Hybrid weighted probabilistic neural network and biogeography based optimization for dynamic economic dispatch of integrated multiple-fuel and wind power plants","volume":"77","author":"Krishnasamy","year":"2016","journal-title":"Int. J. Elect. Power Energy Syst."},{"key":"10.1016\/j.ins.2019.07.054_bib0022","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TEVC.2003.816583","article-title":"Evolutionary programming using mutations based on the L\u00e9vy probability distribution","volume":"8","author":"Lee","year":"2004","journal-title":"IEEE Trans. Evol. Comp."},{"key":"10.1016\/j.ins.2019.07.054_bib0023","first-page":"598","article-title":"A perturb biogeography based optimization with mutation for global numerical optimization","volume":"218","author":"Li","year":"2011","journal-title":"Appl. Math. Comput."},{"key":"10.1016\/j.ins.2019.07.054_bib0024","doi-asserted-by":"crossref","first-page":"2833","DOI":"10.1016\/j.camwa.2012.04.015","article-title":"Multi-operator based biogeography based optimization with mutation for global numerical optimization","volume":"64","author":"Li","year":"2012","journal-title":"Comp. Math. Appl."},{"key":"10.1016\/j.ins.2019.07.054_bib0025","series-title":"IEEE International Swarm Intelligence Symposium","first-page":"124","article-title":"Dynamic multi-swarm particle swarm optimizer","author":"Liang","year":"2005"},{"issue":"3","key":"10.1016\/j.ins.2019.07.054_bib0026","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1109\/TEVC.2005.857610","article-title":"Comprehensive learning particle swarm optimizer for global optimization of multimodal functions","volume":"10","author":"Liang","year":"2006","journal-title":"IEEE Trans. Evol. Comp."},{"key":"10.1016\/j.ins.2019.07.054_bib0027","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1016\/j.asoc.2017.11.012","article-title":"A novel artificial bee colony algorithm with local and global information interaction","volume":"62","author":"Lin","year":"2018","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.ins.2019.07.054_bib0028","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1109\/TSMCC.2012.2190401","article-title":"Neighborhood search-driven accelerated biogeography-based optimization for optimal load dispatch","volume":"42","author":"Lohokare","year":"2012","journal-title":"IEEE Trans. Syst. Man Cybernet. Part C (Appl. Rev.)"},{"key":"10.1016\/j.ins.2019.07.054_bib0029","doi-asserted-by":"crossref","first-page":"2318","DOI":"10.1016\/j.asoc.2013.01.020","article-title":"Accelerated biogeography-based optimization with neighborhood search for optimization","volume":"13","author":"Lohokare","year":"2013","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.ins.2019.07.054_bib0030","doi-asserted-by":"crossref","first-page":"3444","DOI":"10.1016\/j.ins.2010.05.035","article-title":"An analysis of the equilibrium of migration models for biogeography-based optimization","volume":"180","author":"Ma","year":"2010","journal-title":"Inf. Sci. (Ny)"},{"key":"10.1016\/j.ins.2019.07.054_bib0031","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1016\/j.engappai.2010.08.005","article-title":"Blended biogeography-based optimization for constrained optimization","volume":"24","author":"Ma","year":"2011","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.ins.2019.07.054_bib0032","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1109\/TETCI.2017.2739124","article-title":"Biogeography-based optimization: a 10-year review","volume":"1","author":"Ma","year":"2017","journal-title":"IEEE Trans. Emerg. Topics Comp. Intell."},{"key":"10.1016\/j.ins.2019.07.054_bib0033","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1093\/comjnl\/7.4.308","article-title":"A simplex method for function minimization","volume":"7","author":"Nelder","year":"1965","journal-title":"Comput. J."},{"key":"10.1016\/j.ins.2019.07.054_bib0034","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.1016\/j.enconman.2014.06.026","article-title":"A biogeography-based optimization algorithm with mutation strategies for model parameter estimation of solar and fuel cells","volume":"86","author":"Niu","year":"2014","journal-title":"Energy Conv. Manage."},{"key":"10.1016\/j.ins.2019.07.054_bib0035","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1109\/TEVC.2007.895272","article-title":"Accelerating differential evolution using an adaptive local search","volume":"12","author":"Noman","year":"2008","journal-title":"IEEE Trans. Evol. Comp."},{"key":"10.1016\/j.ins.2019.07.054_bib0036","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1109\/TEVC.2008.927706","article-title":"Differential evolution algorithm with strategy adaptation for global numerical optimization","volume":"13","author":"Qin","year":"2009","journal-title":"IEEE Trans. Evol. Comp."},{"key":"10.1016\/j.ins.2019.07.054_bib0037","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.engappai.2017.03.007","article-title":"Community detection in social networks with node attributes based on multi-objective biogeography based optimization","volume":"62","author":"Reihanian","year":"2017","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.ins.2019.07.054_bib0038","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1016\/j.asoc.2014.03.011","article-title":"Effect of hybridizing biogeography-based optimization (BBO) technique with artificial immune algorithm (AIA) and ant colony optimization (ACO)","volume":"21","author":"Savsani","year":"2014","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.ins.2019.07.054_bib0039","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1109\/TEVC.2008.919004","article-title":"Biogeography-based optimization","volume":"12","author":"Simon","year":"2008","journal-title":"IEEE Trans. Evol. Comp."},{"key":"10.1016\/j.ins.2019.07.054_bib0040","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.ins.2013.12.048","article-title":"Linearized biogeography-based optimization with re-initialization and local search","volume":"267","author":"Simon","year":"2014","journal-title":"Inf. Sci. (Ny)"},{"key":"10.1016\/j.ins.2019.07.054_bib0041","series-title":"Evolutionary Computation (CEC), 2012 IEEE Congress on","first-page":"1","article-title":"Resolving mixed pixels by hybridization of biogeography based optimization and ant colony optimization","author":"Sinha","year":"2012"},{"key":"10.1016\/j.ins.2019.07.054_bib0042","series-title":"Differential Evolution-a Simple and Efficient Adaptive Scheme for Global Optimization Over Continuous Spaces","author":"Storn","year":"1995"},{"key":"10.1016\/j.ins.2019.07.054_bib0043","doi-asserted-by":"crossref","first-page":"2454","DOI":"10.1016\/j.apm.2013.10.052","article-title":"An effective krill herd algorithm with migration operator in biogeography-based optimization","volume":"38","author":"Wang","year":"2014","journal-title":"Appl. Math. Model"},{"key":"10.1016\/j.ins.2019.07.054_bib0044","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1504\/IJBIC.2016.074630","article-title":"Firefly algorithm with random attraction","volume":"8","author":"Wang","year":"2016","journal-title":"Int. J. Bio-Inspired Comp."},{"key":"10.1016\/j.ins.2019.07.054_bib0045","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1016\/j.ins.2016.12.024","article-title":"Firefly algorithm with neighborhood attraction","volume":"382","author":"Wang","year":"2017","journal-title":"Inf. Sci. (Ny)"},{"key":"10.1016\/j.ins.2019.07.054_bib0046","doi-asserted-by":"crossref","first-page":"15103","DOI":"10.1016\/j.eswa.2011.05.011","article-title":"An effective hybrid biogeography-based optimization algorithm for parameter estimation of chaotic systems","volume":"38","author":"Wang","year":"2011","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.ins.2019.07.054_bib0047","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.cor.2013.07.021","article-title":"Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning","volume":"41","author":"Xiong","year":"2014","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.ins.2019.07.054_bib0048","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1007\/s10489-012-0398-0","article-title":"Control and synchronization of chaotic systems by an improved biogeography-based optimization algorithm","volume":"39","author":"Yang","year":"2013","journal-title":"Appl. Intell."},{"key":"10.1016\/j.ins.2019.07.054_bib0049","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/4235.771163","article-title":"Evolutionary programming made faster","volume":"3","author":"Yao","year":"1999","journal-title":"IEEE Trans. Evol. Comp."}],"container-title":["Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025519306619?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025519306619?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,8,12]],"date-time":"2019-08-12T04:06:32Z","timestamp":1565582792000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0020025519306619"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":49,"alternative-id":["S0020025519306619"],"URL":"https:\/\/doi.org\/10.1016\/j.ins.2019.07.054","relation":{},"ISSN":["0020-0255"],"issn-type":[{"value":"0020-0255","type":"print"}],"subject":[],"published":{"date-parts":[[2019,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"NBBO: A new variant of biogeography-based optimization with a novel framework and a two-phase migration operator","name":"articletitle","label":"Article Title"},{"value":"Information Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ins.2019.07.054","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}