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A hybrid genetic algorithm for the job shop scheduling problem

Author
FERNANDO GONCALVES, José1 ; DE MAGALHAES MENDES, Jorge José2 ; RESENDE, Mauricio G. C3
[1] Faculdade de Economia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-464 Porto, Portugal
[2] Depto. de Engenharia Informàtica, Instituto Superior de Engenharia do Porto, Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
[3] Internet and Network Systems Research. AT&T Labs Research, Florham Park, NJ 07932, United States
Source

European journal of operational research. 2005, Vol 167, Num 1, pp 77-95, 19 p ; ref : 1 p.1/4

CODEN
EJORDT
ISSN
0377-2217
Scientific domain
Control theory, operational research
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Genetic algorithm Heuristics Job shop Random keys Scheduling
Keyword (fr)
Algorithme génétique Atelier multigamme Charge travail Chromosome Gestion tâche Méthode heuristique Ordonnancement Priorité Recherche locale
Keyword (en)
Genetic algorithm Job shop Workload Chromosome Task scheduling Heuristic method Scheduling Priority Local search
Keyword (es)
Algoritmo genético Job shop Carga trabajo Cromosoma Gestión labor Método heurístico Reglamento Prioridad Busca local
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A12 Scheduling, sequencing

Discipline
Operational research. Management
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16876123

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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