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Heuristic feasibility and preprocessing for a set covering solver based on firefly optimization

dc.contributor.authorSoto R.
dc.contributor.authorCrawford B.
dc.contributor.authorVilches J.
dc.contributor.authorJohnson F.
dc.contributor.authorParedes F.
dc.date.accessioned2020-09-02T22:28:45Z
dc.date.available2020-09-02T22:28:45Z
dc.date.issued2015
dc.identifier10.1007/978-3-319-18476-0_11
dc.identifier.citation347, , 99-108
dc.identifier.issn21945357
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6334
dc.descriptionThe set covering problem is a classic benchmark that has many real applications such as positioning of communications systems, logical analysis, steel production, vehicle routing, and service allocation in general. In this paper, we present an improved firefly algorithm to the efficient resolution of this problem. The firefly algorithm is a recent metaheuristic based on the flashing characteristics of fireflies that attract each other by using their brightness. We improve this approach by incorporating pre-processing and an heuristic feasibility operator resulting in an interesting solver able to clearly outperform the previously reported results obtained from firefly algorithms. © Springer International Publishing Switzerland 2015.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceSilhavy R.Senkerik R.Oplatkova Z.K.Prokopova Z.Silhavy P.
dc.subjectFirefly Algorithm
dc.subjectMetaheuristic
dc.subjectSet Covering Problem
dc.subjectAlgorithms
dc.subjectAmphibious vehicles
dc.subjectArtificial intelligence
dc.subjectBenchmarking
dc.subjectBioluminescence
dc.subjectHeuristic algorithms
dc.subjectOptimization
dc.subjectSocial networking (online)
dc.subjectSteelmaking
dc.subjectCommunications systems
dc.subjectFirefly algorithms
dc.subjectLogical analysis
dc.subjectMetaheuristic
dc.subjectReal applications
dc.subjectService allocations
dc.subjectSet covering problem
dc.subjectSteel production
dc.subjectFire protection
dc.titleHeuristic feasibility and preprocessing for a set covering solver based on firefly optimization
dc.typeConference Paper


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