A monkey-king algorithm for supply chain network design under uncertainty

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 has advantages in calculation efficiency.