基于遗传算法的电力物资物流配送任务调度优化方法
Scheduling Optimization Methods for the Logistics Distribution Tasks of Electric Power Materials Based on the Genetic Algorithm
刘俐君 1张立波1
作者信息
- 1. 国网山西省电力公司太原供电公司 山西太原 030001
- 折叠
摘要
为提升配送效果,提出基于遗传算法的电力物资物流配送任务调度优化方法.根据当前的调度需求,先进行配送优先级测算,采用多阶的方式,简化实际序列的执行环节,设定多阶物资物流配送调度优化初始序列,设计构建遗传算法电力物资物流配送任务调度优化模型,采用交叉核验的方式来实现调度优化处理.测试结果表明:调度时间优化比在0.55以上时,调度优化效果明显,收敛速度快.
Abstract
In order to improve the distribution effect,a scheduling optimization method for the logistics distribu-tion task of electric power materials based on the genetic algorithm is proposed.Based on current scheduling re-quirements,this paper first calculates the distribution priority,adopts a multi-stage approach to simplify the actual execution process of the sequence,sets the initial sequence of the scheduling optimization of the multi-stage logis-tics distribution of materials,designs and constructs a scheduling optimization model for the logistics distribution task of electric power materials based on the genetic algorithm,and uses the cross validation method to achieve scheduling optimization processing.Test results show that when the optimization ratio of scheduling time is above 0.55,the scheduling optimization effect is significant,and the convergence speed is fast.
关键词
遗传算法/电力物资/物流配送/任务调度/优化方法/调度转换Key words
Genetic algorithm/Electric power material/Logistics distribution/Task scheduling/Optimization method/Scheduling conversion引用本文复制引用
出版年
2024
NETL
NSTL
万方数据