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dc.contributor.authorÖztürk, Gürkan
dc.contributor.authorÖztürk, Zehra Kamışlı
dc.contributor.authorIslıer, A. A.
dc.date.accessioned2019-10-18T19:26:15Z
dc.date.available2019-10-18T19:26:15Z
dc.date.issued2006
dc.identifier.isbn3540459014 -- 9783540459019
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11421/11428
dc.description2nd International Conference on Natural Computation, ICNC 2006 -- 24 September 2006 through 28 September 2006 -- Xi'an -- 68420en_US
dc.description.abstractThe cell formation (CF) problem aims to transform the incidence matrix into block diagonal form, Numerous techniques are developed for this purpose ranging from mathematical programming to heuristic and AI techniques. In this study a simple but effective competitive neural network algorithm (CNN) is applied and compared with genetic algorithms, tabu search, simulated annealing and ant systems by making use of some well known data sets from literature. As a result at 14 out of 15 cases, better results are obtained by CNNen_US
dc.language.isoengen_US
dc.publisherSpringer Verlagen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAi Techniquesen_US
dc.subjectCell Formationen_US
dc.subjectCellular Manufacturingen_US
dc.subjectCompetitive Neural Networken_US
dc.titleA comparison of competitive neural network with other AI techniques in manufacturing cell formationen_US
dc.typeconferenceObjecten_US
dc.relation.journalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.contributor.departmentAnadolu Üniversitesi, Açıköğretim Fakültesien_US
dc.identifier.volume4221 LNCS - Ien_US
dc.identifier.startpage575en_US
dc.identifier.endpage583en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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