Design of Electric Power Material Storage Layout Planning System Based on Improved Clonal Selection Algorithm
In order to optimize the layout of electric power material storage,the Apriori algorithm is used to build the optimiza-tion model of electric power material storage.Vaccination strategy is introduced to build an improved Clonal selection algo-rithm.The results show that on the Sphere function and Ackley function,the improved Clonal selection algorithm tends to con-verge after 400 iterations,with fitness values of 10-75 and 10-17.By solving the F function,the improved Clonal selection algo-rithm obtains the optimal solution of 1.03,the average solution of 1.12,the average optimization efficiency is 8.20％,the standard deviation is 0.07,and the optimization efficiency increased is 14.15％.In the classification of materials,the accuracy of the improved Clonal selection algorithm is 94.5％and 89.6％.The improved Clonal selection algorithm optimizes the layout of the storage and improves the efficiency of power material distribution.
万方数据
维普
