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dc.contributor.authorRubio L., José Miguel
dc.contributor.authorSilva, Cristian Vidal
dc.contributor.authorCarter, Luis E.
dc.contributor.authorTupac-Yupanqui, Miguel
dc.date.accessioned2021-04-30T03:39:52Z
dc.date.available2021-04-30T03:39:52Z
dc.date.issued2021-04-05
dc.identifier10.17762/turcomat.v12i6.2435
dc.identifier.issn13094653
dc.identifier.urihttps://hdl.handle.net/20.500.12728/8813
dc.description.abstractThe curriculum design is quite a challenge in the academy, mainly because it requires an adequate distribution of content for the development of the expected professional competencies regarding the available time, the necessary academic load, and their gradual progress in the higher educational institutions. Considering the above, the main objective of this work is to present and exemplify a computational solution to minimize the cost of designing curriculum plans using bio-inspired algorithms to automate and reduce errors in such a process. Specifically, the purpose of this research focuses on solving the Curriculum Mesh Balancing (BACP) problem through metaheuristic optimization based on the behavior or algorithm of fireflies and the use of functional programming in the Haskell lang curricular meshes, rolling of curricular meshes, metaheuristics; firefly algorithm, functional programming in Haskell programming language. The firefly algorithm will be applied to a set of test instances to demonstrate its effectiveness. According to the obtained results, this proposal allows the efficient gathering of solutions to the problem under study.es_ES
dc.language.isoenes_ES
dc.publisherKaradeniz Technical Universityes_ES
dc.subjectAcademic curriculumes_ES
dc.subjectFireflyalgorithmes_ES
dc.subjectFunctional programminges_ES
dc.subjectHaskelles_ES
dc.subjectMetaheuristicses_ES
dc.subjectRolling of academic curriculumes_ES
dc.titleBalanced academic curriculum: Looking for an optimal solution with metaheuristics and functional programminges_ES
dc.typeArticlees_ES


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