Publication
Title
A practical approach for robust and flexible vehicle routing using metaheuristics and Monte Carlo sampling
Author
Abstract
In this paper, we investigate how robust and flexible solutions of a number of stochastic variants of the capacitated vehicle routing problem can be obtained. To this end, we develop and discuss a method that combines a sampling based approach to estimate the robustness or flexibility of a solution with a metaheuristic optimization technique. This combination allows us to solve larger problems with more complex stochastic structures than traditional methods based on stochastic programming. It is also more flexible in the sense that adaptation of the approach to more complex problems can be easily done. We explicitly recognize the fact that the decision makers risk preference should be taken into account when choosing a robust or flexible solution and show how this can be done using our approach.
Language
English
Source (journal)
Journal of mathematical modelling and algorithms. - Place of publication unknown
Publication
Place of publication unknown : 2009
ISSN
1570-1166
Volume/pages
8:4(2009), p. 387-407
Full text (Publishers DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
VABB-SHW
Record
Identification
Creation 19.11.2009
Last edited 22.11.2016
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