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dc.contributor.authorTasgetiren, M.F.
dc.contributor.authorPan, Q.K.
dc.contributor.authorSuganthan, P.N.
dc.contributor.authorDizbay, I.E.
dc.date.accessioned2021-01-25T20:50:31Z
dc.date.available2021-01-25T20:50:31Z
dc.date.issued2013
dc.identifier10.1109/CIPLS.2013.6595210
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84884991420&doi=10.1109%2fCIPLS.2013.6595210&partnerID=40&md5=d62078395fed52611e13e6c7df024611
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10478
dc.description.abstractThis paper presents two meta-heuristic algorithms to solve the quadratic assignment problem. The iterated greedy algorithm has two main components, which are destruction and construction procedures. The algorithm starts from an initial solution and then i
dc.language.isoEnglish
dc.publisherProceedings of the 2013 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, CIPLS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
dc.titleMetaheuristic algorithms for the quadratic assignment problem
dc.typeConference Paper
dc.relation.firstpage131
dc.relation.lastpage137
dc.description.affiliationsIndustrial Engineering Department, Selcuk Yasar Campus, Yasar University, Izmir, Turkey; SKL of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China; School of Electrical and Electronic Engineering, Nanyang Techn


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