Multi Objective Optimization Configuration Method for Power Three-dimensional Storage Space Based on Multi-population Evolutionary Niche Genetic Algorithm
A multi-population evolutionary niche genetic algorithm-based optimization configuration method is proposed to ad-dress the challenges of correlation and insufficient flexibility in traditional electric power three-dimensional storage space alloca-tion.First,conduct correlation analysis is performed on materials,and clustering methods are used for scientific classification,improving the efficiency and accuracy of warehouse operations.Based on the clustering results and material characteristics,con-straints are set,and an objective function is constructed with the aim of minimizing material entry/exit time and intra-class ma-terial movement distance.The introduction of a multiple-population evolutionary niche genetic algorithm helps maintain diversity in storage bin configuration solutions,avoids premature convergence,and enables global optimal solution search.The experimen-tal results demonstrate that this method significantly enhances warehouse efficiency,meets material management needs,and a-chieves a high degree of optimization with correlation and flexibility.
cluster analysisoptimize the configuration modelmulti group evolutionary nichegenetic algorithmmodel solving
万方数据
维普
