GA-based Resource Transportation Scheduling Optimization of Open-pit Mine

被引：3

作者：

He Miao ^{[1
]}

Zhou Jinsheng ^{[1
]}

Nie Dexin ^{[2
]}

机构：

[1] China Univ Geosci, Beijing 100083, Peoples R China

[2] HeNan Univ Finance & Econ, Zhengzhou 451464, Henan, Peoples R China

来源：

2017 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA) | 2017年

关键词：

vehicle scheduling; GA; mine transportation; open pit mine;

D O I：

10.1109/ICSGEA.2017.9

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The open-pit mine vehicle scheduling problems are discussed to assign the mine resource reasonably, adjusting the balance of supply and demand effectively and improving the transportation efficiently, and provide necessary technical support for complete open-pit operational scheduling measures. Meanwhile, we design natural number coding genetic algorithms with the technologies of adaptive adjustment of maximum reserved exchange, exchange rate and mutation rate, which achieves good performance in the experiments of solving transportation problems. The experimental results show the approach proposed in this article is feasible and effective, providing a novel technical measure for the optimization of open-pit mine vehicle scheduling.

引用

页码：247 / 250

页数：4

共 6 条

[1] Stochastic optimization of mine production scheduling with uncertain ore/metal/waste supply [J].