摘要
提出了改进粒子群算法,提高了计算速度;以矿车等待时间短和装卸车距离短为原则给出了矿车调度系统的目标函数,用改进粒子群算法计算矿车调度系统的最佳调度方案,提高了矿车资源利用率。设计了基于改进粒子群算法的矿车调度系统的结构以及该系统软件的各功能,使矿车调度系统更便于操作。
An improved particle swarm algorithm was proposed to improve the calculation speed. The objective function of the system was given under the principle that the short waiting time and the short distance between the loading and unloading process. The improved particle swarm optimization algorithm was used to calculate the optimal scheduling of the mine car dispatching system, which has improved the utilization rate of mine cars. The structure of the mine car scheduling system based on the improved particle swarm algorithm and the functions of the system software are designed to make the mine car dispatching system more convenient to operate.
作者
冯如只
房颖
FENG Ru-zhi, FANG Ying(Henan Mechanical and Electrical Vocational College, Zhengzhou 451191, Chin)
出处
《煤炭技术》
CAS
2018年第8期226-228,共3页
Coal Technology
关键词
矿车
改进粒子群算法
调度系统
最优解
资源管理
mine car
improved particle swarm algorithm
dispatching system
optimal solution
resource management
