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Enriched metaheuristics for the resource constrained unrelated parallel machine scheduling problem

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Enriched metaheuristics for the resource constrained unrelated parallel machine scheduling problem

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Vallada Regalado, E.; Villa Juliá, MF.; Fanjul-Peyro, L. (2019). Enriched metaheuristics for the resource constrained unrelated parallel machine scheduling problem. Computers & Operations Research. 111:415-424. https://doi.org/10.1016/j.cor.2019.07.016

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/155401

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Title: Enriched metaheuristics for the resource constrained unrelated parallel machine scheduling problem
Author: Vallada Regalado, Eva Villa Juliá, Mª Fulgencia Fanjul-Peyro, Luis
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:
Embargo end date: 2022-11-30
Abstract:
[EN] A Scatter Search algorithm together with an enriched Scatter Search and an enriched Iterated Greedy for the unrelated parallel machine problem with one additional resource are proposed in this paper. The optimisation ...[+]
Subjects: Unrelated parallel machine , Scheduling , Additional scarce resource , Metaheuristics , Makespan
Copyrigths: Embargado
Source:
Computers & Operations Research. (issn: 0305-0548 )
DOI: 10.1016/j.cor.2019.07.016
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.cor.2019.07.016
Project ID:
info:eu-repo/grantAgreement/EC/H2020/731932/EU/Transforming Transport/
info:eu-repo/grantAgreement/MINECO//DPI2014-53665-P/ES/OPTIMIZACION DE PROCESOS EN TERMINALES MARITIMAS DE CONTENEDORES/
MINISTERIO DE ECONOMIA Y EMPRESA/DPI2015-65895-R
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094940-B-I00/ES/OPTIMIZACION DE OPERACIONES EN TERMINALES PORTUARIAS/
Thanks:
The authors are supported by the Spanish Ministry of Economy and Competitiveness, under the projects "SCHEYARD - Optimization of Scheduling Problems in Container Yards" (No. DPI201565895-R) and "OPTEMAC -Optimizacion de ...[+]
Type: Artículo

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