Particle Swarm Optimisation for Open Shop Problems with Fuzzy Durations
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-21344-1_38
Reference24 articles.
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2. Blum, C.: Beam-ACO—hybridizing ant colony optimization with beam search: an application to open shop scheduling. Computers & Operations Research 32(6), 1565–1591 (2005)
3. Brucker, P., Hunrink, J., Jurisch, B., Wöstmann, B.: A branch & bound algorithm for the open-shop problem. Discrete Applied Mathematics 76, 43–59 (1997)
4. Dubois, D., Fargier, H., Fortemps, P.: Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge. European Journal of Operational Research 147, 231–252 (2003)
5. Fortemps, P.: Jobshop scheduling with imprecise durations: a fuzzy approach. IEEE Transactions of Fuzzy Systems 7, 557–569 (1997)
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1. A particle swarm solution based on lexicographical goal programming for a multiobjective fuzzy open shop problem;AI Communications;2015
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3. Hybrid Tabu Search for Fuzzy Job Shop;Natural and Artificial Models in Computation and Biology;2013
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