Publication:
Migrating birds optimization: A new meta-heuristic approach and its application to the quadratic assignment problem

dc.contributor.authorsDuman E., Uysal M., Alkaya A.F.
dc.date.accessioned2022-03-15T01:58:49Z
dc.date.accessioned2026-01-11T08:11:17Z
dc.date.available2022-03-15T01:58:49Z
dc.date.issued2011
dc.description.abstractIn this study we propose a new nature inspired metaheuristic approach based on the V formation flight of the migrating birds which is proven to be an effective formation in energy minimization. Its performance is tested on quadratic assignment problem instances arising from a real life problem and very good results are obtained. The quality of the solutions turned out to be better than simulated annealing, tabu search and guided evolutionary simulated annealing approaches. These results indicate that our new metaheuristic approach could be an important player in metaheuristic based optimization. © 2011 Springer-Verlag.
dc.identifier.doi10.1007/978-3-642-20525-5_26
dc.identifier.isbn9783642205248
dc.identifier.issn3029743
dc.identifier.urihttps://hdl.handle.net/11424/247117
dc.language.isoeng
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.subjectmetaheuristics
dc.subjectoptimization
dc.subjectsimulated annealing
dc.titleMigrating birds optimization: A new meta-heuristic approach and its application to the quadratic assignment problem
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage263
oaire.citation.issuePART 1
oaire.citation.startPage254
oaire.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
oaire.citation.volume6624 LNCS

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