Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities

A hybrid algorithm which combines particle swarm optimization (PSO) and iterated local search (ILS) is proposed for solving the hybrid flowshop scheduling (HFS) problem with preventive maintenance (PM) activities. In the proposed algorithm, different crossover operators and mutation operators are in...

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Detalles Bibliográficos
Autores principales: Li, Jun-qing, Pan, Quan-ke, Mao, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032694/
https://www.ncbi.nlm.nih.gov/pubmed/24883414
http://dx.doi.org/10.1155/2014/596850

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032694/
https://www.ncbi.nlm.nih.gov/pubmed/24883414
http://dx.doi.org/10.1155/2014/596850

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