基于BD-PSO的航空货运站集装立体库任务分配优化研究

Research on Task Allocation in Airport Cargo Terminal ULD Warehouse Based on BD-PSO Algorithm

航空货运站集装立体库具有多出入口的特点,合理将任务集中地分配到各口是后续任务调度的基础.使用优化二进制离散粒子群优化算法,解决了原算法中粒子速度变化能力弱、全局寻优性能不佳的问题.仿真结果表明,该方法可快速优化进出口任务分配工作,能够满足工程现场需求.

ULD Warehouse in airport cargo terminal has multi-outlet layout.How to allocate tasks legitimately is the basis for all subsequent tasks scheduling. The binary discrete particle swarm optimization algorithm is used to solve the problems that particle velocity change weakly and the poor global optimization capability of the original algorithm.Simulation results show that this method can quickly optimize the import and export of task assignment work to meet the requirements of the project site.