摘要
根据露天矿山运输调度系统的复杂性与非线性特性,建立了实时运输调度系统模型;运用遗传进化算法中的选择、交叉、变异、插入、迁移算子的寻优迭代计算,成功地解决了在开采工艺、产量、质量等多因素约束条件下的实时运输调度优化问题。并将其用于韶峰水泥原料矿山的生产运输调度系统,既降低了矿山运输成本,又协调了开采工艺、质量、产量之间的关系,取得了较好的效果。同时为矿山企业信息化建设和其他物流企业提供了重要的参考价值。
According to complexity and non-lineer character of transportation scheduling system in surface mine, the real time transportation scheduling system model is set up for the transportation scheduling system subject to many factors such as mining craft, yield, quality, etc., with all arithmetic operators of genetic algorithms such as selection, crossover, mutation, interpotation, and migration. The model has been adopted by production transportation scheduling system of raw material quarry in Shaofeng Cement Group, which not only reduced transportation cost, but also harmonized relations among mining craft, yield, quality, and got better effect. In the meantime, it will be of benefit to information construction of quarry enterprises and others materials circulation enterprises.
出处
《中国工程科学》
2006年第8期77-80,91,共5页
Strategic Study of CAE
关键词
遗传算法
运输调度系统
运输成本
genetic algorithms
transportation scheduling system
transportation cost
