Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Parallel Cooperative Approaches For The Labor Constrained Scheduling Problem
Author: Cavalcante C.C.B.
Cavalcante V.F.
Ribeiro C.C.
de Souza C.C.
Abstract: In this paper we consider the labor constrained scheduling problem (LCSP), in which a set of jobs to be processed is subject to precedence and labor requirement constraints. Each job has a specified processing time and a labor requirements profile, which typically varies as the job is processed. Given the amount of labor available at each period, the problem consists in determining starting times so as to minimize the overall makespan, subject to the precedence and labor constraints. We propose two parallel cooperative algorithms for LCSP: an asynchronous team and a parallel tabu search strategy. Both algorithms make use of cooperative processes that asynchronously exchange information gathered along their execution. Computational experiments on benchmark instances show that these parallel algorithms produce significantly better solutions than all sequential algorithms previously proposed in the literature. © 2002 by Springer Science+Business Media New York.
Rights: fechado
Identifier DOI: 10.1007/978-1-4615-1507-4
Date Issue: 2002
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.