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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Vydáno v:	Knowledge-based systems Ročník 15; číslo 1; s. 13 - 25
Hlavní autoři:	Esquivel, S., Ferrero, S., Gallard, R., Salto, C., Alfonso, H., Schütz, M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 2002
Témata:	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
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