Multiple crossovers on multiple parents for the multiobjective flow shop problem

The Flow Shop Scheduling Problem have been tackled using different techniques which goes from mathematical techniques like Branch and Bound to metaheuristics like evolutionary algorithms (EAs). Although in the real world this problem will be found more frequently with more than one objective, most...

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Detalles Bibliográficos
Autores principales:	Esquivel, Susana Cecilia, Zuppa, Federico, Gallard, Raúl Hector
Formato:	Objeto de conferencia
Lenguaje:	Español
Publicado:	2002
Materias:	Ciencias Informáticas Scheduling Evolutionary Computation Flow shop scheduling Optimization multiobjective optimization ARTIFICIAL INTELLIGENCE multirecombination
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/23124
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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