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dc.contributor.authorJaramillo A.
dc.contributor.authorCrawford B.
dc.contributor.authorSoto R.
dc.contributor.authorMisra S.
dc.contributor.authorOlguín E.
dc.contributor.authorRubio Á.G.
dc.contributor.authorSalas J.
dc.contributor.authorVillablanca S.M.
dc.date.accessioned2020-09-02T22:20:42Z
dc.date.available2020-09-02T22:20:42Z
dc.date.issued2016
dc.identifier10.1007/978-3-319-42085-1_29
dc.identifier.citation9786, , 373-385
dc.identifier.issn03029743
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4969
dc.descriptionThe Soccer League Competition algorithm (SLC) is a new nature-based metaheuristic approach to solve optimization problems. It gets its basis model from the interaction between soccer teams and their players in a soccer league competition, where each player (feasible solution) compete for victory and be the best player. This paper presents a review of the underlaying SLC model and a practical approach to solve the Set Covering Problem using SLC and Python as programming language and tested over a widely OR-Library SCP benchmarks to obtain convergence capability and effectiveness of the implementation. © Springer International Publishing Switzerland 2016.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceApduhan B.O.Murgante B.Misra S.Taniar D.Torre C.M.Rocha A.M.A.C.Wang S.Gervasi O.Stankova E.
dc.subjectCombinatorial
dc.subjectConstraint satisfaction
dc.subjectOptimization
dc.subjectSet Covering Problem
dc.subjectSoccer League Competition
dc.subjectAlgorithms
dc.subjectConstraint satisfaction problems
dc.subjectOptimization
dc.subjectProblem oriented languages
dc.subjectSports
dc.subjectCombinatorial
dc.subjectConstraint Satisfaction
dc.subjectFeasible solution
dc.subjectLeague competition
dc.subjectMeta-heuristic approach
dc.subjectOptimization problems
dc.subjectSet covering problem
dc.subjectSoccer team
dc.subjectProblem solving
dc.titleAn approach to solve the Set Covering Problem with the Soccer League Competition algorithm
dc.typeConference Paper


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