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dc.contributor.authorCrawford B.
dc.contributor.authorSoto R.
dc.contributor.authorPeña C.
dc.contributor.authorRiquelme-Leiva M.
dc.contributor.authorTorres-Rojas C.
dc.contributor.authorJohnson F.
dc.contributor.authorParedes F.
dc.date.accessioned2020-09-02T22:15:43Z
dc.date.available2020-09-02T22:15:43Z
dc.date.issued2015
dc.identifier10.1109/CISTI.2015.7170376
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4168
dc.descriptionThis paper presents metaheuristic Shuffled Frog Leaping Algorithm (SFLA) to solve the Set Covering Problem (SCP), the SFLA is inspired by the social behavior of frogs, and is being applied to solve many optimization problems. The proposed algorithm includes eight binarization functions and discretization method for resolving the binary representation of the SCP. In the 65 instances of SCP we obtains very promising results. © 2015 AISTI.
dc.language.isoes
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectMetaheuristics
dc.subjectSet Covering Problem
dc.subjectShuffled Frog Leaping Algorithm
dc.subjectAlgorithms
dc.subjectBins
dc.subjectDiscrete event simulation
dc.subjectInformation systems
dc.subjectOptimization
dc.subjectBinary representations
dc.subjectDiscretization method
dc.subjectMeta heuristics
dc.subjectMetaheuristic
dc.subjectOptimization problems
dc.subjectSet covering problem
dc.subjectShuffled frog leaping algorithm (SFLA)
dc.subjectSocial behavior
dc.subjectProblem solving
dc.titleBinarization functions for Shuffled Frog Leaping Algorithm can solve the Set Covering Problem [Funciones de binarización para el Algoritmo del Salto de la Rana que resuelve el Problema de Cobertura de Conjunto]
dc.typeConference Paper


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