车辆路径问题
编码(社会科学)
适应度函数
遗传算法
计算机科学
数学优化
路径(计算)
分布(数学)
算法
运筹学
布线(电子设计自动化)
数学
机器学习
程序设计语言
计算机网络
数学分析
统计
标识
DOI:10.1145/3635175.3635216
摘要
The vehicle routing problem is an issue of important theoretical and practical significance in the field of logistics research. How to plan multiple distribution routes so that the distribution needs of all customers are met while minimizing the no-load mileage of vehicles and the total distribution cost is The focus of vehicle path planning research is that this article introduces genetic algorithms, uses coding space to replace the parameter space of the problem, uses the fitness function as the basis for evaluation, and uses the coding group as the evolutionary basis to obtain a logistics distribution vehicle path planning solution based on genetic algorithms. Finally, through The hotel logistics distribution was verified and compared, and it was finally found that the results of the modified algorithm were consistent with the traditional algorithm, and it was also consistent with today's diverse logistics distribution models.
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