Scheduling Optimization Methods for the Logistics Distribution Tasks of Electric Power Materials Based on the Genetic Algorithm
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.
Genetic algorithmElectric power materialLogistics distributionTask schedulingOptimization methodScheduling conversion
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