Adaptive Large Neighborhood Search for Multitrip Vehicle Routing with Time Windows-Reference-Cited by-同舟云学术

Adaptive Large Neighborhood Search for Multitrip Vehicle Routing with Time Windows

Published:2019-11 Issue:6 Volume:53 Page:1706-1730
ISSN:0041-1655
Container-title:Transportation Science
language:en
Short-container-title:Transportation Science

Author:

François Véronique¹^ORCID,Arda Yasemin¹^ORCID,Crama Yves²^ORCID

Affiliation:

1. HEC Liège - Management School of the University of Liège, Research Center QuantOM (Quantitative Methods and Operations Management), B4000 Liège, Belgium;

2. HEC Liège - Management School of the University of Liège, Research Center QuantOM (Quantitative Methods and Operations Management), B4000 Liège, Belgium

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Transportation,Civil and Structural Engineering

Reference24 articles.

1. An adaptive large neighborhood search for a vehicle routing problem with multiple routes

2. An adaptive guidance approach for the heuristic solution of a minimum multiple trip vehicle routing problem

3. The Multi-Trip Vehicle Routing Problem with Time Windows and Release Dates

4. A memetic algorithm for the Multi Trip Vehicle Routing Problem

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The traveling purchaser problem for perishable foods;Computers & Industrial Engineering;2024-09

2. An efficient hybrid adaptive large neighborhood search method for the capacitated team orienteering problem;Expert Systems with Applications;2024-09

3. Home chemotherapy delivery: An integrated production scheduling and multi-trip vehicle routing problem;European Journal of Operational Research;2024-09

4. An Iterated Local Search Heuristic for the Multi-Trip Vehicle Routing Problem with Multiple Time Windows;Mathematics;2024-05-30

5. An adaptive large neighborhood search for the multi-vehicle profitable tour problem with flexible compartments and mandatory customers;Applied Soft Computing;2024-05