A GA based approach for dynamic job-shop scheduling problems

Madureira, Ana Maria; Ramos, Carlos; Silva, Sílvio Carmo

http://hdl.handle.net/10400.22/32330

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Autores

Madureira, Ana Maria

Ramos, Carlos

Silva, Sílvio Carmo

Resumo(s)

[Abstract excerpt] Most research in Genetic Algorithms (GA) focuses on optimisation of static scheduling problems. Since Davis proposed the first Genetic Algorithm to address scheduling problems in 1985, GA have been widely used in manufacturing scheduling applications. However, most of he works deal with optimisation of the scheduling problem in static environments, whereas many real world problems are dynamic, frequently subject to several sorts of random occurrences and perturbations, such as random job releases, machine breakdowns, jobs cancellation and due date and time processing changes.

URI

http://hdl.handle.net/10400.22/32330

Citação

Madureira, A., Ramos, C. & Silva, S. C. (2001, May 31-June 2). A GA based approach for dynamic job-shop scheduling problems [Abstract]. Conference of the European Chapter on Combinatorial Optimization ECCO XIV, University of Bonn, Germany.

Editora

University of Bonn

Coleções

ISEP – DEI – Comunicações em eventos científicos

Licença CC

Sem licença CC

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