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TitleAn improved evolutionary algorithm to sequence operations on an ASRS warehouse
Author(s)Oliveira, José A.
Ferreira, João Amaro Oliveira
Pereira, Guilherme
Dias, Luís M. S.
KeywordsEvolutionary algorithms
Job shop scheduling
ASRS warehouse
Issue date2014
JournalAdvances in Intelligent Systems and Computing
CitationJ.A. Oliveira, João Ferreira, Guilherme A.B. Pereira, Luis S. Dias. (2014). An improved Evolutionary Algorithm to sequence operations on an ASRS warehouse. In Soft Computing in Industrial Applications: Advances in Intelligent Systems and Computing. Volume 223, 2014, pp 95-104. Springer International Publishing
Abstract(s)This paper describes the hybridization of an evolutionary algorithm with a greedy algorithm to solve a job-shop problem with recirculation. We model a real problem that arises within the domain of loads' dispatch inside an automatic warehouse. The evolutionary algorithm is based on random key representation. It is very easy to implement and allows the use of conventional genetic operators for combinatorial optimization problems. A greedy algorithm is used to generate active schedules. This constructive algorithm reads the chromosome and decides which operation is scheduled next. This option increases the efficiency of the evolutionary algorithm. The algorithm was tested using some instances of the real problem and computational results are presented.
TypeConference paper
DescriptionComunicação publicada no Livro de Atas: Proceedings of the 17th Online World Conference on Soft Computing in Industrial Applications.
Publisher version
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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