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dc.contributor.authorCrawford B.
dc.contributor.authorSoto R.
dc.contributor.authorJohnson F.
dc.contributor.authorMisra S.
dc.contributor.authorOlguín E.
dc.date.accessioned2020-09-02T22:15:38Z
dc.date.available2020-09-02T22:15:38Z
dc.date.issued2016
dc.identifier10.1007/978-3-319-42092-9_4
dc.identifier.citation9790, , 40-49
dc.identifier.issn03029743
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4134
dc.descriptionIn software project management there are several problems to deal, one of those is the Software Project Scheduling Problem (SPSP). This problem requires to assign a set of resources to tasks for a given project, trying to decrease the duration and cost of the whole project. The workers and their skills are the main resources in the project. In this paper we present the SPSP as a combinatorial optimization problem and a novel approach to solve SPSP by a Firefly algorithm. Firefly algorithm is a new metaheuristic based on the behaviour of the firefly. We present the design of the resolution model to solve the SPSP using an algorithm of fireflies and we illustrate some experimental results in order to demonstrate the viability and soundness of our approach. © Springer International Publishing Switzerland 2016.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceMisra S.Gervasi O.Torre C.M.Taniar D.Stankova E.Rocha A.M.A.C.Wang S.Murgante B.Apduhan B.O.
dc.subjectFirefly algorithm
dc.subjectMetaheuristic
dc.subjectProject management
dc.subjectSoftware project scheduling problem
dc.subjectAlgorithms
dc.subjectBioluminescence
dc.subjectCombinatorial optimization
dc.subjectFire protection
dc.subjectProject management
dc.subjectScheduling
dc.subjectCombinatorial optimization problems
dc.subjectFirefly algorithms
dc.subjectMetaheuristic
dc.subjectResolution modeling
dc.subjectSoftware project management
dc.subjectSoftware Project Scheduling
dc.subjectOptimization
dc.titleA software project management problem solved by firefly algorithm
dc.typeConference Paper


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