Ant colony algorithms for the dynamic vehicle routing problem with time windows

Barry Van Veen, Michael Emmerich, Zhiwei Yang, Thomas Bäck, Joost Kok

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

20 Citations (Scopus)

Abstract

The Vehicle Routing Problem with Time Windows relates to frequently occuring real world problems in logistics. Much work has been done on solving static routing problems but solving the dynamic variants has not been given an equal amount of attention, while these are even more relevant to most companies in logistics and transportation. In this work an Ant Colony Optimization algorithm for solving the Dynamic Vehicle Routing Problem with Time Windows is proposed. Customers and time windows are inserted during the working day and need to be integrated in partially committed solutions. Results are presented on a benchmark that generalizes Solomon's classical benchmark with varying degrees of dynamicity and different variants, including pheromone preservation and the min-max ant system.

Original languageEnglish
Title of host publicationNatural and Artificial Computation in Engineering and Medical Applications - 5th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2013, Proceedings
Pages1-10
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event5th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2013 - Mallorca, Spain
Duration: 10 Jun 201314 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7931 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2013
Country/TerritorySpain
CityMallorca
Period10/06/1314/06/13

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