基于入侵杂草算法的城市生鲜配送优化研究

针对实际道路阻抗下的城市"最后一公里"生鲜配送路径优化问题,在保证骑手安全情况下,又能够以最快速度将货物送到客户手上,降低配送成本,从配送过程中电动车遇到的实际道路阻抗因素出发,建立了以最大化顾客满意度,最小化配送成本的多目标优化模型,并利用入侵杂草算法和遗传算法对模型进行分别求解。实验结果验证了模型和入侵杂草算法的有效性。

Optimization of Urban Fresh Produce Distribution Based on an Invasive Weed Algorithm

In order to optimize the" last-mile" urban fresh food distribution route under actual road impedance, we set up a system that maximizes customer satisfaction and minimizes distribution costs, based on the actual road impedance factors encountered by electric vehicles in the distribution process, in order to ensure rider safety, deliver goods to customers as quickly as possible, and reduce distribution costs. A multi-objective optimization model was used to optimize the model and the invasive weed algorithm and genetic algorithm were used to solve the model separately. The experimental results validate the effectiveness of the model and the invasive weed algorithm.