Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling
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Publication:1040966
DOI10.1016/J.COR.2009.06.008zbMath1175.90176OpenAlexW2046617115MaRDI QIDQ1040966
Cuiyu Wang, Liang Gao, Xinyu Li, Chaoyong Zhang, Xinyu Shao
Publication date: 27 November 2009
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2009.06.008
Learning and adaptive systems in artificial intelligence (68T05) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)
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Cites Work
- Integration of process planning and scheduling -- a modified genetic algorithm-based approach
- A symbiotic evolutionary algorithm for the integration of process planning and job shop scheduling.
- A generalized permutation approach to job shop scheduling with genetic algorithms
- Optimisation of integrated process planning and scheduling using a particle swarm optimisation approach
- Job shop scheduling with alternative machines
- The Complexity of Flowshop and Jobshop Scheduling
- Modelling, measurement and evaluation of sequencing flexibility in manufacturing systems
- Flexible process plans: their value in flexible automation systems
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