Variable Block Insertion Heuristic for the Quadratic Assignment Problem

dc.contributor.author M. Fatih Tasgetiren
dc.contributor.author Quan-Ke Pan
dc.contributor.author Yucel Ozturkoglu
dc.contributor.author Ozlem Koctas Cotur
dc.contributor.author Cotur, Ozlem Koctas
dc.contributor.author Tasgetiren, M. Fatih
dc.contributor.author Pan, Quan-Ke
dc.contributor.author Ozturkoglu, Yucel
dc.coverage.spatial IEEE Congress on Evolutionary Computation (CEC)
dc.date.accessioned 2025-10-06T16:21:12Z
dc.date.issued 2017
dc.description.abstract The aim of this paper is to apply the variable block insertion heuristic (VBIH) algorithm recently proposed in the literature for solving the quadratic assignment problem (QAP). The VBIH algorithm is concerned with making block moves in a given solution. As a local search in this paper the VNST is employed from the literature to be applied to a solution obtained after several block moves. Besides the single-solution based VBIH we also propose a populated VBIH (PVBIH) in this paper. The proposed algorithms were evaluated on quadratic assignment problem instances arising from real life problems as well as on a number of benchmark instances from the QAPLIB. The computational results show that the proposed algorithms are very effective in solving both types of instances. All PCB instances are further improved.
dc.identifier.doi 10.1109/CEC.2017.7969515
dc.identifier.isbn 978-1-5090-4601-0
dc.identifier.isbn 9781509046010
dc.identifier.scopus 2-s2.0-85028518265
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/6747
dc.identifier.uri https://doi.org/10.1109/CEC.2017.7969515
dc.language.iso English
dc.publisher IEEE
dc.relation.ispartof IEEE Congress on Evolutionary Computation (CEC)
dc.relation.ispartofseries IEEE Congress on Evolutionary Computation
dc.rights info:eu-repo/semantics/closedAccess
dc.source 2017 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
dc.subject quadratic assignment problem, variable block insertion heuristic, variable neighborhood search
dc.subject TOTAL WEIGHTED TARDINESS, ITERATED LOCAL SEARCH, DEPENDENT SETUP TIMES, SINGLE-MACHINE, NEIGHBORHOOD SEARCH, GENETIC ALGORITHM, OPTIMIZATION, MINIMIZATION, LOCATION, HYBRID
dc.subject Quadratic Assignment Problem
dc.subject Variable Neighborhood Search
dc.subject Variable Block Insertion Heuristic
dc.title Variable Block Insertion Heuristic for the Quadratic Assignment Problem
dc.type Conference Object
dspace.entity.type Publication
gdc.author.id Tasgetiren, Mehmet Fatih/0000-0002-5716-575X
gdc.author.id Pan, QUAN-KE/0000-0002-5022-7946
gdc.author.id Tasgetiren, M Fatih/0000-0001-8625-3671
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gdc.author.wosid ozturkoglu, yucel/AAX-6202-2020
gdc.author.wosid Pan, QUAN-KE/F-2019-2013
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gdc.description.departmenttemp [Tasgetiren, M. Fatih; Ozturkoglu, Yucel; Cotur, Ozlem Koctas] Yasar Univ, Int Logist Management Dept, Izmir, Turkey; [Pan, Quan-Ke] Huazhong Univ Sci & Technol, State Key Lab, Wuhan, Hubei, Peoples R China
gdc.description.endpage 1770
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 1765
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
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gdc.virtual.author Taşgetiren, Mehmet Fatih
gdc.virtual.author Öztürkoğlu, Yücel
gdc.virtual.author Koçtaş Çotur, Özlem
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person.identifier.orcid Pan- QUAN-KE/0000-0002-5022-7946, Tasgetiren- M. Fatih/0000-0001-8625-3671, Tasgetiren- Mehmet Fatih/0000-0002-5716-575X
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