Hybrid optimization of vehicle routing problems

被引：0
|
作者：
Lam, Edward
机构：
[1] University of Melbourne,
来源：
CONSTRAINTS | 2023年 / 28卷 / 02期
关键词：
D O I：
10.1007/s10601-023-09352-5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Vehicle routing problems are combinatorial optimization problems that aspire to design vehicle routes that minimize some measure of cost, such as the total distance traveled or the time at which the last vehicle returns to a depot, while adhering to various restrictions. Vehicle routing problems are of profound interest in both academia and industry because they are opportunities to study graph structures and algorithms, and because they underpin practical applications in a multitude of industries, but notably, the transportation and logistics industries. This dissertation presents two applications relevant to industry and develops a fully hybrid method for solving a classical vehicle routing problem.
引用
收藏
页码：67 / 68
页数：2
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