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dc.contributor.authorSoto R.
dc.contributor.authorCrawford B.
dc.contributor.authorAlmonacid B.
dc.date.accessioned2020-09-02T22:28:38Z
dc.date.available2020-09-02T22:28:38Z
dc.date.issued2016
dc.identifier10.1109/CISTI.2016.7521561
dc.identifier.citation2016-July, , -
dc.identifier.issn21660727
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6284
dc.descriptionThe machine-part cell formation (MPCF) problem is to organize an assembly as a set of cells, where each cell contains certain machines that process a sub-set of parts. In recent years, different types of metaheuristics have been used to solve the problem of MPCF. This publication focuses on solving the MPCF problem using a metaheuristic inspired on birds, called Migrating Birds Optimization (MBO) algorithm. Experiments have been conducted to 180 test instances using 2 types of leader exchange in the flock of birds. The results obtained using MBO are equal to or better than other algorithms reported in the literature. © 2016 AISTI.
dc.language.isoes
dc.publisherIEEE Computer Society
dc.sourceRocha A.Reis L.P.Cota M.P.Goncalves R.Suarez O.S.
dc.subjectCell formation problem
dc.subjectMetaheuristics
dc.subjectMigrating Birds Optimization
dc.subjectNature-Inspired Optimization Algorithms
dc.subjectAlgorithms
dc.subjectBirds
dc.subjectCells
dc.subjectCellular manufacturing
dc.subjectCytology
dc.subjectHeuristic algorithms
dc.subjectInformation systems
dc.subjectMachinery
dc.subjectProblem solving
dc.subjectCell formation
dc.subjectCell formation problem
dc.subjectFlock of Birds
dc.subjectMeta heuristics
dc.subjectMetaheuristic
dc.subjectMigrating birds
dc.subjectOptimization algorithms
dc.subjectTest instances
dc.subjectOptimization
dc.titleEfficient leader exchange for Migrating Birds Optimization when solving machine-part cell formation problems [Un Eficiente Intercambio De Líder En El Algoritmo Optimización De Migración de Aves en resolver el problema de Formación de Celdas Máquina-Parte]
dc.typeConference Paper


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