基于随机模拟的订货问题遗传算法求解

Solving order problems with genetic algorithms based on stochastic simulation

市场需求量是一个随机变量,它给订货者追求最大利润,确定最优订货量带来了困难。从期望收益最大的角度,结合遗传算法的并行计算、全局搜索能力和随机模拟计算积分(期望)的简单性,运用基于随机模拟的遗传算法搜索最优订货量。

Market demand is a stochastic variable which brings difficulty for most profit by ordering right goods.By combining the parallel numeration and all-sides search ability of genetic algorithms with the simpleness of calculating integral by stochastic simulation, and by using genetic algorithms based on stochastic simulation,this paper gives best solution for the most expected income.