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Minimizing weighted earliness-tardiness on parallel machines using hybrid metaheuristics

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Minimizing weighted earliness-tardiness on parallel machines using hybrid metaheuristics

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Alvarez Valdes, R.; Tamarit, J.; Villa Juliá, MF. (2015). Minimizing weighted earliness-tardiness on parallel machines using hybrid metaheuristics. Computers and Operations Research. 54:1-11. doi:10.1016/j.cor.2014.08.020

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/52728

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Title: Minimizing weighted earliness-tardiness on parallel machines using hybrid metaheuristics
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
We consider the problem of scheduling a set of jobs on a set of identical parallel machines where the objective is to minimize the total weighted earliness and tardiness penalties with respect to a common due date. We ...[+]
Subjects: Scheduling , Earliness-tardiness , Parallel machines , Hybrid metaheuristics , Path Relinking , Scatter Search
Copyrigths: Cerrado
Source:
Computers and Operations Research. (issn: 0305-0548 ) (eissn: 1873-765X )
DOI: 10.1016/j.cor.2014.08.020
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.cor.2014.08.020
Thanks:
This study has been partially supported by the Spanish Ministry of Science and Technology, DPI2011-24977, and by Generalitat Valenciana, PROMETEO/2013/049.
Type: Artículo

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