基于遗传LM算法的电网企业电力物资供应实时调度方法研究

Research on Real-Time Dispatching Method for Power Material Supply in Power Grid Enterprises Based on Genetic LM Algorithm

当前,电网企业电力物资供应实时调度与物资管理存在脱节,为此,开展基于遗传LM算法的电网企业电力物资供应实时调度方法的研究。深入分析电力物资需求,利用遗传LM算法优化库存,建立智能调度模型。实验结果表明:与传统方法相比,基于遗传LM算法的电网企业电力物资供应实时调度方法的适应度均值高且稳定,维持在0.45附近,更符合实际需求。

At present,the real-time dispatching of power material supply in power grid enterprises is disconnected from the material management.Therefore,the real-time dispatching method of power material supply in power grid enterprises based on Genetic LM algorithm is studied.It conducts in-depth analysis of power material demand,uses Genetic LM algorithm to optimize inventory and establish intelligent dispatching model.The experimental re-sults show that:Compared with the traditional methods,the adaptability of the real-time dispatching method of power material supply of power grid enterprises based on Genetic LM algorithm is high and stable's which is around 0.45 and is more in line with the actual demand.