基于NSGA-II算法的低碳多目标电动冷藏车路径优化
Path Optimization of Low-Carbon Multi-Objective Electric Refrigerated Truck Based on NSGA-II Algorithm
摘要: 随着国家对物流行业的绿色化和可持续发展的日益重视，新能源相关行业正在蓬勃发展。针对引入电动冷藏车的冷链物流企业，构建了一个同时考虑综合运输成本、碳排放量与企业配送水平的多目标优化模型，并结合NSGA-II算法对使用电动冷藏车的冷链物流配送路径进行优化求解。对模型求解得到了Pareto前沿面，并对Pareto解集中的几个典型解进行了分析，分析结果可为引入电动冷藏车的冷链物流企业在考虑降低碳排放和提高企业物流服务水平的前提下进行路径优化提供一定的决策参考。
Abstract: With the country’s increasing attention to the greening and sustainable development of the logistics industry, new energy-related industries are booming. For the cold chain logistics enterprises introducing electric refrigerated trucks, a multi-objective optimization model was constructed, which simultaneously considered the comprehensive transportation cost, carbon emission and the distribution level of the enterprise, and combined with the NSGA-II algorithm to optimize and solve the cold chain logistics distribution path using electric refrigerated trucks. The Pareto front surface of the model is obtained, and several typical solutions of the Pareto solution set are analyzed. The analysis results can provide certain decision-making reference for the cold chain logistics enterprises introducing electric refrigerated trucks to optimize the route under the premise of reducing carbon emission and improving the logistics service level of enterprises.
文章引用：廖伊杰, 孟芳. 基于NSGA-II算法的低碳多目标电动冷藏车路径优化[J]. 软件工程与应用, 2024, 13(2): 208-222. https://doi.org/10.12677/sea.2024.132022

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