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计算机应用 2006
Simulation and optimization of the stochastic (Q, r) inventory system based on genetic algorithm
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Abstract:
The(Q,r) inventory control model is important for inventory management.It is difficult to get the best inventory control policy of stochastic(Q,r) inventory system by analytical method.The genetic algorithm based methods were proposed to optimize the corresponding inventory system.A discrete event system simulation model of stochastic(Q,r) inventory system was built and an improved genetic algorithm was designed to optimize the control policy of the inventory system.Experiment results on real-world applications demonstrate the effectiveness of the current techniques.