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This paper designs supply chain network in uncertain environment, in which the demands of customers are assumed to be random variables, and the operation costs are considered as fuzzy numbers. After modeling by fuzzy programming, a fuzzy neural network optimized by particle swarm optimization is presented to solve the established model. Through an example, compared with the traditional fuzzy neural...
This paper designs supply chain network in uncertain environment, in which the demands of customers are assumed to be random variables, and the operation costs are considered as fuzzy numbers. We formulate model by fuzzy programming and develop monkey-king algorithm to solve the proposed model. Through an example, compared with the traditional genetic algorithm, it is proved that the presented algorithm...
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