Publication:
Migrating Birds Optimization: A New Meta-heuristic Approach and Its Application to the Quadratic Assignment Problem

dc.contributor.authorsDuman, Ekrem; Uysal, Mitat; Alkaya, Ali Fuat
dc.contributor.editorDiChio, C
dc.contributor.editorCagnoni, S
dc.contributor.editorCotta, C
dc.contributor.editorEbner, M
dc.contributor.editorEkart, A
dc.contributor.editorEsparciaAlcazar, AI
dc.contributor.editorMerelo, JJ
dc.contributor.editorNeri, F
dc.contributor.editorPreuss, M
dc.contributor.editorRichter, H
dc.contributor.editorTogelius, J
dc.contributor.editorYannakakis, GN
dc.date.accessioned2022-03-12T16:13:40Z
dc.date.accessioned2026-01-11T17:23:15Z
dc.date.available2022-03-12T16:13:40Z
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.
dc.identifier.doidoiWOS:000302387400026
dc.identifier.eissn1611-3349
dc.identifier.isbn978-3-642-20524-8
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11424/225010
dc.identifier.wosWOS:000302387400026
dc.language.isoeng
dc.publisherSPRINGER-VERLAG BERLIN
dc.relation.ispartofAPPLICATIONS OF EVOLUTIONARY COMPUTATION, PT I
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectmetaheuristics
dc.subjectsimulated annealing
dc.subjectoptimization
dc.subjectFORMATION FLIGHT
dc.subjectENERGY SAVINGS
dc.subjectALGORITHM
dc.subjectSEARCH
dc.titleMigrating Birds Optimization: A New Meta-heuristic Approach and Its Application to the Quadratic Assignment Problem
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage+
oaire.citation.startPage254
oaire.citation.titleAPPLICATIONS OF EVOLUTIONARY COMPUTATION, PT I
oaire.citation.volume6624

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