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Hybrid genetic algorithms: solutions in realistic dynamic and setup dependent job-shop scheduling problems

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Hybrid genetic algorithms: solutions in realistic dynamic and setup dependent job-shop scheduling problems

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Branco, RM.; Coelho, AS.; Mayerle, SF. (2016). Hybrid genetic algorithms: solutions in realistic dynamic and setup dependent job-shop scheduling problems. International Journal of Production Management and Engineering. 4(2):75-85. doi:10.4995/ijpme.2016.5780.

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/74220

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Title: Hybrid genetic algorithms: solutions in realistic dynamic and setup dependent job-shop scheduling problems
Author:
Issued date:
Abstract:
[EN] This paper discusses the application of heuristic-based evolutionary technique in search for solutions concerning the dynamic job-shop scheduling problems with dependent setup times and alternate routes. With a ...[+]
Subjects: Genetic algorithms , Dispatching rules , Realistic job-shop scheduling
Copyrigths: Reconocimiento - No comercial (by-nc)
Source:
International Journal of Production Management and Engineering. (issn: 2340-5317 ) (eissn: 2340-4876 )
DOI: 10.4995/ijpme.2016.5780
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.4995/ijpme.2016.5780
Type: Artículo

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