基于NSGA-2的无人机配送中心选址优化

Location Optimization of UAV Distribution Center Based on NSGA-2

摘要: 以无人机物流配送中心选址问题为研究对象，结合其选址特点构建含有固定建设费用、存储管理费用、运输费用等成本要素的目标函数，建立了基于快速非支配排序遗传算法NSGA-2的选址模型进行求解，揭示了不同目标之间的Pareto最优解之间关系。最后，假设以天津市建立防疫物资无人机配送网为例，给出了优化方案，从而验证了模型的正确性。

Abstract: Taking the location problem of UAV logistics distribution center as the research object, combined with its location characteristics, an objective function containing fixed construction cost, storage and management cost, transportation cost and other cost elements is constructed, and a location model based on fast non dominated sorting genetic algorithm NSGA-2 is established to solve the problem, revealing the relationship between Pareto optimal solutions of different objectives. Finally, taking Tianjin as an example to establish a UAV distribution network for epidemic prevention materials, the optimization scheme is given to verify the correctness of the model.