Simulation and Optimization of Stochastic (s, S) Inventory System Based on Genetic Algorithm(Chinese)
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摘要: 提出了一种将系统仿真常用于优化随机库存系统的方案，它将遗传算法与离散事件系统仿真相结合，用遗传算法指导控制变量的选择.在遗传算法中，针对库存系统的随机特性提出了一种新的选择算子，并设计了一个候选策略收集器.基于常用(s,S)库存控制的仿真实例表明，本方案是可行且有效的.Abstract: System simulation was used to optimize stochastic inventory. It combined genetic algorithms with simulation of discrete event system and used genetic algorithms to guide the choice of control variables.A new selection operation and a candidate policies′ collector were proposed to overcome the randomicity of a stochastic inventory system.Test results of a (s, S) inventory system showed that the solution proposed is feasible and effective.
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