Publication:
Performance of migrating birds optimization algorithm on continuous functions

dc.contributor.authorsAlkaya A.F., Algin R., Sahin Y., Agaoglu M., Aksakalli V.
dc.date.accessioned2022-03-15T02:10:15Z
dc.date.accessioned2026-01-10T18:42:43Z
dc.date.available2022-03-15T02:10:15Z
dc.date.issued2014
dc.description.abstractIn this study, we evaluate the performance of a recently proposed metaheuristic on several well-known functions. The objective of this evaluation is to participate in a competition where several metaheuristics are compared. The metaheuristic we exploit is the recently proposed migrating birds optimization (MBO) algorithm. Our contribution in this study is to develop a novel neighbor generating function for MBO to be used in multidimensional continuous spaces. After a set of preliminary tests presenting the best performing values of the parameters, the results of computational experiments are given in 2, 10 and 30 dimensions. © Springer International Publishing Switzerland 2014.
dc.identifier.doi10.1007/978-3-319-11897-0_51
dc.identifier.isbn9783319118963
dc.identifier.issn3029743
dc.identifier.urihttps://hdl.handle.net/11424/247454
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectContinuous functions
dc.subjectMigrating birds optimization
dc.subjectSingle objective optimization
dc.titlePerformance of migrating birds optimization algorithm on continuous functions
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage459
oaire.citation.startPage452
oaire.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
oaire.citation.volume8795

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