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New construction heuristic algorithm for solving the vehicle routing problem with time windows
Liu J(刘军)
刊名IET Collaborative Intelligent Manufacturing
2019
卷号1期号:3页码:90-96
关键词Heuristic algorithms Optimization Routing algorithms Sales Vehicle routing
DOI10.1049/iet-cim.2019.0035
英文摘要

The vehicle routing problem with time windows (VRPTW) is the most important and widely studied combinational optimisation problem. However, most constructive heuristics create a new path when the customer violates the constraint and cannot insert into any existing path, causing the time window constraint to be tight and generating more paths. Aiming at the above problems, a new constructive heuristic algorithm is proposed. The algorithm firstly uses the convex hull of the customer location to determine the initial seed client and reduces the redundant path; meanwhile, the calculation method of the traditional
optimal insertion position is improved, and the calculation efficiency is improved to some extent; in addition, for customers who cannot insert any feasible path, the exchange operator is introduced to give the current solution a disturbance instead of directly creating a new seed client and a new path to further reduce the redundant path. The experimental results show that the algorithm can effectively solve the close time window of VRPTW for evenly distributed customers, and even provide a strict time
window for evenly distributed customers and a certain amount of hybrid geographic cluster customers.

语种英语
出版者Institution of Engineering and Technology
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/103342]  
专题机电工程学院
作者单位兰州理工大学
推荐引用方式
GB/T 7714
Liu J. New construction heuristic algorithm for solving the vehicle routing problem with time windows[J]. IET Collaborative Intelligent Manufacturing,2019,1(3):90-96.
APA Liu J.(2019).New construction heuristic algorithm for solving the vehicle routing problem with time windows.IET Collaborative Intelligent Manufacturing,1(3),90-96.
MLA Liu J."New construction heuristic algorithm for solving the vehicle routing problem with time windows".IET Collaborative Intelligent Manufacturing 1.3(2019):90-96.
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