Enhanced evolutionary algorithms for single and multiobjective optimization in the job shop scheduling problem

Over the past few years, a continually increasing number of research efforts have investigated the application of evolutionary computation techniques for the solution of scheduling problems. Scheduling can pose extremely complex combinatorial optimization problems, which belong to the NP-hard family...

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Bibliographic Details

Published in:	Knowledge-based systems Vol. 15; no. 1; pp. 13 - 25
Main Authors:	Esquivel, S., Ferrero, S., Gallard, R., Salto, C., Alfonso, H., Schütz, M.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 2002
Subjects:	Artificial intelligence Evolutionary algorithms Genetic algorithms Job shop scheduling Multiple object problems Multiplicity of crosoovers and parents Scheduling Single and multiobjective optimization Multiplicity of crosoovers and parents Scheduling Evolutionary algorithms Single and multiobjective optimization
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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