Multiplicity of parents and crossovers, the stud and the neh heuristic for searching the optimal makespan in fssp

Different evolutionary approaches using genetic algorithms were proposed to solve the Flow Shop Scheduling Problem (FSSP). Variants point to the selection mechanism, genetic operators and the decision to include or not in the initial population an individual generated by some conventional heuristic...

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Autores principales: Esquivel, Susana Cecilia, Zuppa, Federico, Gallard, Raúl Hector
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2001
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Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23405
Aporte de:
id I19-R120-10915-23405
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Scheduling
ARTIFICIAL INTELLIGENCE
Multiplicity of parents
crossovers
spellingShingle Ciencias Informáticas
Scheduling
ARTIFICIAL INTELLIGENCE
Multiplicity of parents
crossovers
Esquivel, Susana Cecilia
Zuppa, Federico
Gallard, Raúl Hector
Multiplicity of parents and crossovers, the stud and the neh heuristic for searching the optimal makespan in fssp
topic_facet Ciencias Informáticas
Scheduling
ARTIFICIAL INTELLIGENCE
Multiplicity of parents
crossovers
description Different evolutionary approaches using genetic algorithms were proposed to solve the Flow Shop Scheduling Problem (FSSP). Variants point to the selection mechanism, genetic operators and the decision to include or not in the initial population an individual generated by some conventional heuristic (Reeves). New trends to enhance evolutionary algorithms for solving the FSSP introduced multiple-crossovers-per couple (MCPC) and multiple-crossovers-on-multiple-parents (MCMP). MCMP-S, a multiple-crossovers-on-multiple-parents variant, selects the stud (breeding individual) among the multiple intervening parents and mates it, more than once, with every other parent in a multiple crossover operation. In previous works, two versions of MCMP-S were faced. In the first one (MCMP-SOP), the stud and every other parent were selected from the old population. In the second one (MCMP-SRI), the stud was selected from the old population, and the other parents (random immigrants) were generated randomly. This paper introduces MCMP-NEH. The idea is to use the NEH heuristic, where the stud mates individuals in the mating pool coming from two sources: random immigrants and NEH-based individuals. These NEH-individuals are produced from randomly chosen individuals of the population and used as the starting points of the NEH heuristic. Experiments were conducted to contrast this novel proposal with a conventional evolutionary algorithm, with the only objective of establishing the improvement degree despite computational effort. Implementation details and a comparison of results for a set of flow shop scheduling instances of distinct complexity, using every evolutionary approach, are shown.
format Objeto de conferencia
Objeto de conferencia
author Esquivel, Susana Cecilia
Zuppa, Federico
Gallard, Raúl Hector
author_facet Esquivel, Susana Cecilia
Zuppa, Federico
Gallard, Raúl Hector
author_sort Esquivel, Susana Cecilia
title Multiplicity of parents and crossovers, the stud and the neh heuristic for searching the optimal makespan in fssp
title_short Multiplicity of parents and crossovers, the stud and the neh heuristic for searching the optimal makespan in fssp
title_full Multiplicity of parents and crossovers, the stud and the neh heuristic for searching the optimal makespan in fssp
title_fullStr Multiplicity of parents and crossovers, the stud and the neh heuristic for searching the optimal makespan in fssp
title_full_unstemmed Multiplicity of parents and crossovers, the stud and the neh heuristic for searching the optimal makespan in fssp
title_sort multiplicity of parents and crossovers, the stud and the neh heuristic for searching the optimal makespan in fssp
publishDate 2001
url http://sedici.unlp.edu.ar/handle/10915/23405
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