Publication:
Exact and metahueristic approaches for optimizing the operations of chip mounter machines

dc.contributor.authorsDemirkale H., Duman E., Alkaya A.F.
dc.date.accessioned2022-03-15T01:57:43Z
dc.date.accessioned2026-01-10T17:25:21Z
dc.date.available2022-03-15T01:57:43Z
dc.date.issued2010
dc.description.abstractArtificial bee colony (ABC) algorithm is recently proposed algorithm that is inspired from the foraging behavior of honey bees in nature. ABC has been applied to the continuous numerical problems. In this study, we exploit ABC algorithm for optimizing the operations of chip mounter machines which are used for printed circuit board (PCB) assembly, and compared it with Simulated Annealing (SA). Experimental results comparing the proposed ABC and SA are presented. Moreover, the proximity of ABC and SA is compared with the optimal values. ©2010 IEEE.
dc.identifier.doi10.1109/CISIM.2010.5643677
dc.identifier.isbn9781424478170
dc.identifier.urihttps://hdl.handle.net/11424/246995
dc.language.isoeng
dc.relation.ispartof2010 International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2010
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial bee colony
dc.subjectChip mounter machines
dc.subjectSimulated annealing
dc.titleExact and metahueristic approaches for optimizing the operations of chip mounter machines
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage125
oaire.citation.startPage120
oaire.citation.title2010 International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2010

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