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基于随机模拟的订货问题遗传算法求解
引用本文:陈均明.基于随机模拟的订货问题遗传算法求解[J].重庆工商大学学报(自然科学版),2005,22(2):179-181.
作者姓名:陈均明
作者单位:重庆工商大学,理学院,重庆,400067
摘    要: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。

关 键 词:随机模拟  遗传算法  订货  期望收益
文章编号:1672-058X(2005)02-0179-03

Solving order problems with genetic algorithms based on stochastic simulation
CHEN Jun-ming.Solving order problems with genetic algorithms based on stochastic simulation[J].Journal of Chongqing Technology and Business University:Natural Science Edition,2005,22(2):179-181.
Authors:CHEN Jun-ming
Abstract: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.
Keywords:stochastic simulation  genetic algorithms  order  expected income
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