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Stochastic simulation based GA approach to solve chance constrained bilevel programming problems in inexact environment

Advances in Intelligent Systems and Computing (2015) 339 637-648
DOI: 10.1007/978-81-322-2250-7_64
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Abstract

This article presents how the genetic algorithm (GA) based stochastic simulation can be used for solving fuzzy goal programming (FGP) model of a chance constrained bilevel programming problem (BLPP). A numerical example is solved to illustrate the proposed approach.

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Chakraborti, D., & Pal, B. B. (2015). Stochastic simulation based GA approach to solve chance constrained bilevel programming problems in inexact environment. In Advances in Intelligent Systems and Computing (Vol. 339, pp. 637–648). Springer Verlag. https://doi.org/10.1007/978-81-322-2250-7_64

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