Abstract
This chapter introduces the random fuzzy chance-constrained programming (CCP) proposed by Liu [184]. We also integrate random fuzzy simulation, neural network (NN) and genetic algorithm (GA) to produce a hybrid intelligent algorithm for solving random fuzzy CCP models, and illustrate its effectiveness by some numerical examples.
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© 2002 Springer-Verlag Berlin Heidelberg
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Liu, B. (2002). Random Fuzzy Chance-Constrained Programming. In: Theory and Practice of Uncertain Programming. Studies in Fuzziness and Soft Computing, vol 102. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1781-2_21
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DOI: https://doi.org/10.1007/978-3-7908-1781-2_21
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-662-13196-1
Online ISBN: 978-3-7908-1781-2
eBook Packages: Springer Book Archive