基于遗传算法的随机(s，S)库存系统仿真优化

Simulation and Optimization of Stochastic (s,S) Inventory System Based on Genetic Algorithm

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.

System simulation was used to optimize stochastic inventory, h 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 randomocity of a stochastic inventory system. Test results of a （s, S） inventory system showed that the solution proposed is feasible and effective.