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Grey Chance Constrained Programming and Solving Method with Intelligent Algorithm

Huafeng Xu, Shuke Zhou, Zhigeng Fang

Abstract


In uncertain programming, if there are grey variables in the constraint conditions, it is called grey chance constrained programming. We provide the concept of grey chance-constrained programming and grey emulation method in this paper. Further, an optimization algorithm based on genetic algorithm is suggested to solve this model. Finally an example shows the effectiveness and practicality of this method.



Keywords


chance constrained programming, grey simulation, genetic algorithm.

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