Modeling and I-NSGA-III Solution of Allocation Problem in Echelon Usage of Dual-Life Equipment

Analyze the allocation problem between equipment user units and backup warehouses in the echelon usage of dual-life equipment. A decision model for the allocation problem was constructed, and optimization objectives were proposed in terms of average reserve priority difference, number of allocation, and quantity of life waste. An improved fast non dominated sorting genetic algorithm based on reference points was used to solve the problem. We are adopting segmented natural number encoding and an adaptive mutation operator in our algorithm. The experimental results show that the improved algorithm can improve convergence speed and obtain batter search results on this problem, verifying the feasibility of this method.