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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18977
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dc.contributor.authorGarg V.-
dc.contributor.authorDeep, K.-
dc.contributor.editorNagar A.-
dc.contributor.editorBansal J.C.-
dc.contributor.editorDeep K.-
dc.contributor.editorPant M.-
dc.contributor.editorDas K.N.-
dc.date.accessioned2020-12-03T06:29:37Z-
dc.date.available2020-12-03T06:29:37Z-
dc.date.issued2015-
dc.identifier.citationProceedings of Advances in Intelligent Systems and Computing, (2015), 529- 545-
dc.identifier.isbn9.79E+12-
dc.identifier.issn21945357-
dc.identifier.urihttps://doi.org/10.1007/978-81-322-2220-0_44-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/18977-
dc.description.abstractBiogeography-based optimization (BBO) is a population-based metaheuristic evolutionary algorithm proposed by Simon (IEEE Trans Evol Comput 12 (6):702–713, 2008 [1]). It is based on the theory of island biogeography which deals with the migration, speciation, and extinction of the species in a habitat. It has excellent exploitation ability but lacks in exploration. After the inception of BBO, a lot of modifications and hybridizations are introduced to enhance its performance. This paper focuses on various modifications and refinements in the migration and mutation operators of the original BBO and its hybridization with other populationbased meta-heuristic algorithms. In the end, some open problems related to BBO are highlighted encouraging future research in this novel area. © Springer India 2015.-
dc.language.isoen_US-
dc.publisherSpringer Verlag-
dc.relation.ispartofProceedings of Advances in Intelligent Systems and Computing-
dc.subjectBiogeography-based optimization (BBO)-
dc.subjectMeta-heuristic algorithms-
dc.subjectMigration-
dc.subjectAlgorithms-
dc.subjectComputation theory-
dc.subjectEcology-
dc.subjectOptimization-
dc.subjectProblem solving-
dc.subjectSoft computing-
dc.subjectBiogeography-based optimizations-
dc.subjectBiogeographybased optimizations (BBO)-
dc.subjectIsland biogeography-
dc.subjectMeta heuristic algorithm-
dc.subjectMetaheuristic-
dc.subjectMigration-
dc.subjectMutation operators-
dc.subjectState-of-the art reviews-
dc.subjectHeuristic algorithms-
dc.titleA state-of-the-art review of biogeography-based optimization-
dc.typeConference Paper-
dc.scopusid56594391300-
dc.scopusid8561208900-
dc.affiliationGarg, V., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India-
dc.affiliationDeep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India-
dc.description.correspondingauthorGarg, V.; Department of Mathematics, Indian Institute of Technology RoorkeeIndia; email: vanitagarg16@gmail.com-
Appears in Collections:Conference Publications [MA]

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