Using genetic algorithms (GA) and a coloured timed Petri net (CTPN) for modelling the optimization-based schedule generator of a generic production scheduling system

DOI10.1080/00207540500380981zbMath1128.90355OpenAlexW1967992532MaRDI QIDQ5438649

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Publication date: 24 January 2008

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540500380981

zbMATH Keywords

integer programminggenetic algorithmsPetri netsunrelated parallel machinethree-phase simulation

Mathematics Subject Classification ID

Linear programming (90C05) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

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Cites Work

• A global MILP model for FMS scheduling
• On practical resource allocation for production planning and scheduling with period overlapping setups
• A genetic algorithm for flowshop sequencing
• Evolution based learning in a job shop scheduling environment
• A local search heuristic for unrelated parallel machine scheduling with efficient neighborhood search
• Modelling and analysis of wafer fabrication scheduling via generalized stochastic Petri net and simulated annealing
• Survey of scheduling research involving setup times

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