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dc.contributor.authorCrawford B.
dc.contributor.authorSoto R.
dc.contributor.authorBerrios N.
dc.contributor.authorOlguín E.
dc.date.accessioned2020-09-02T22:15:35Z
dc.date.available2020-09-02T22:15:35Z
dc.date.issued2016
dc.identifier10.1007/978-3-319-33625-1_46
dc.identifier.citation464, , 511-524
dc.identifier.issn21945357
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4119
dc.descriptionIn this paper, we present a Binary cat swarm optimization for solving the Set covering problem. The Set covering problem is a well-known NP-hard problem with many practical applications, including those involving scheduling, production planning and location problems. Binary cat swarm optimization is a recent swarm metaheuristic technique based on the behaviour of discrete cats. Domestic cats show the ability to hunt and are curious about moving objects. The cats have two modes of behavior: seeking mode and tracing mode. Moreover, eight different transfer functions and five discretization techniques are considered for solving the binary problem. We illustrate this approach with 65 instances of the problem and select the best transfer function and discretization technique to solve this problem. © Springer International Publishing Switzerland 2016.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceSilhavy R.Senkerik R.Oplatkova Z.K.Silhavy P.Prokopova Z.
dc.subjectBinary Cat SwarmOptimization
dc.subjectMetaheuristic
dc.subjectSet covering problem
dc.subjectArtificial intelligence
dc.subjectBins
dc.subjectComputational complexity
dc.subjectFactory automation
dc.subjectIntelligent systems
dc.subjectOptimization
dc.subjectProduction control
dc.subjectTransfer functions
dc.subjectBinary Cat SwarmOptimization
dc.subjectBinary problems
dc.subjectLocation problems
dc.subjectMeta-heuristic techniques
dc.subjectMetaheuristic
dc.subjectProduction Planning
dc.subjectSet covering problem
dc.subjectSwarm optimization
dc.subjectProblem solving
dc.titleCat swarm optimization with different binarization methods for solving set covering problems
dc.typeConference Paper


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