机械设备维修区域资源优化调度仿真

Mechanical Equipment Maintenance Regional Resource Optimization Scheduling Simulation

对机械设备的维修区域进行资源优化调度,能够有效提高机械设备的工作时间。对机械设备的维修区域资源的优化调度,需要先增强全局搜索能力,利用排斥项避免种群搜索进程的早熟收敛,完成机械设备维修区域资源优化调度。传统方法利用遗传操作算子对编码方案进行改进,采用遗传操作算子精英保留策略构造最优解集,但忽略了搜索进程的早熟收敛,导致调度精度偏低。提出基于粒子群优化的机械设备维修资源优化调度方法。上述方法给出机械设备维修资源分配问题的目标函数,将资源调度问题分解为静态和动态维修任务调度问题,组建机械设备维修资源优化调度模型,结合粒子群优化理论对模型进行求解,利用排斥项避免种群搜索进程的早熟收敛,以获得的全局最优解为依据完成机械设备维修资源优化调度。实验结果表明,所提方法能够有效提升机械设备维修资源优化调度效率。

A method for resource optimization scheduling in maintenance region of mechanical equipment is proposed based on particle swarm optimization. Firstly ,the objective function of resource allocation of equipment maintenance is provided and the resource scheduling is divided into static state and dynamic state task scheduling of maintenance, then the model for the resource optimization scheduling is built and the model integrated with panicle swarm optimization is solved. Moreover, the repulsion item is used to avoid premature convergence of searching process of species to obtain globally optimal solution. Finally, the resource optimization scheduling is completed. Experimental results show that the method can improve efficiency of the resource optimization scheduling effectively.