Artículo

Choice of a PISA Selector in a Hybrid Algorithmic Structure for the FJSSP

Frutos, MarianoIcon ; Tohme, Fernando AbelIcon
Fecha de publicación: 06/2015
Editorial: Growing Science
Revista: Decision Science Letters
ISSN: 1929-5804
e-ISSN: 1929-5812
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

This paper analyzes the choice of a PISA selector for a Hybrid Algorithm integrating it as a Multi- Objective Evolutionary Algorithm (MOEA) with a path-dependent search algorithm. The interaction between these components provides an efficient procedure for solving Multi-Objective Problems (MOPs) in operations scheduling. In order to choose the selector, we consider both NSGA and SPEA as well as their successors (NSGAII and SPEAII). NSGAII and SPEAII are shown to be the most efficient candidates. On the other hand, for the path-dependent search at the end of each evolutionary phase we use the multi-objective version of Simulated Annealing
Palabras clave: Flexible Job-Shop Scheduling , Multi-Objective Hybrid Evolutionary Algorithm , Pisa Selector
 
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/11917
URL: http://growingscience.com/beta/dsl/1872-choice-of-a-pisa-selector-in-a-hybrid-al
DOI: http://dx.doi.org/10.5267/j.dsl.2014.11.001
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Articulos(INMABB)
Articulos de INST.DE MATEMATICA BAHIA BLANCA (I)
Citación
Frutos, Mariano; Tohme, Fernando Abel; Choice of a PISA Selector in a Hybrid Algorithmic Structure for the FJSSP; Growing Science; Decision Science Letters; 4; 2; 6-2015; 247-260
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