卡车
趋同(经济学)
计算机科学
路径(计算)
遗传算法
窗口(计算)
能源消耗
数学优化
电力
功率(物理)
实时计算
汽车工程
工程类
数学
电气工程
经济
物理
机器学习
程序设计语言
操作系统
量子力学
经济增长
作者
Yutao Qi,Yudong Huang,Yuanyuan Ye,Wanli Wang,Yaping Fu,Kai Wang
标识
DOI:10.1109/crc.2019.00034
摘要
Aiming at the problem of electric truck path, an electric truck path optimization model with time window is proposed. The model considers the relationship between the speed of the electric truck, the load of the cargo, and the energy consumption, minimizing the total power consumption of the distribution center and the total advance or delay time. At the same time, simulation experiment is carried out by using the grey wolf algorithm. The comparison between the simulation results and the genetic algorithm shows that the grey wolf algorithm can solve the vehicle path planning with time window easily and effectively. It has better convergence and accuracy and is an effective way to solve such path optimization problems.
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