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A hybrid approach based on genetic algorithms to solve the problem of cutting structural beams in a metalwork company

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A hybrid approach based on genetic algorithms to solve the problem of cutting structural beams in a metalwork company

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Gracia Calandin, CP.; Andrés Romano, C.; Gracia Calandin, LI. (2013). A hybrid approach based on genetic algorithms to solve the problem of cutting structural beams in a metalwork company. Journal of Heuristics. 19(2):253-273. doi:10.1007/s10732-011-9187-x

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/61406

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Title: A hybrid approach based on genetic algorithms to solve the problem of cutting structural beams in a metalwork company
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
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Abstract:
This work presents a hybrid approach based on the use of genetic algorithms to solve efficiently the problem of cutting structural beams arising in a local metalwork company. The problem belongs to the class of one-dimensional ...[+]
Subjects: Cutting stock problem , Pattern generation , Hybrid metaheuristics , GA
Copyrigths: Reserva de todos los derechos
Source:
Journal of Heuristics. (issn: 1381-1231 )
DOI: 10.1007/s10732-011-9187-x
Publisher:
Springer Verlag (Germany)
Publisher version: http://dx.doi.org/10.1007/s10732-011-9187-x
Type: Artículo

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