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  4. A modified adaptive large neighbourhood search for a vehicle routing problem with flexible time window

A modified adaptive large neighbourhood search for a vehicle routing problem with flexible time window

MMC.
2021;
Volume 8, Number 4
: pp. 716–725
https://doi.org/10.23939/mmc2021.04.716
Received: May 23, 2021
Accepted: June 07, 2021

Mathematical Modeling and Computing, Vol. 8, No. 4, pp. 716–725 (2021)

Authors:
  1. F. Labdiad
  2. M. Nasri
  3. I. Hafidi
  4. H. Khalfi
1
LIPIM, ENSA Khouribga, University Sultan Moulay Slimane
2
LIPIM, ENSA Khouribga, University Sultan Moulay Slimane
3
LIPIM, ENSA Khouribga, University Sultan Moulay Slimane
4
LIPIM, ENSA Khouribga, University Sultan Moulay Slimane

Vehicle routing problems are widely available in real world application.  In this paper, we tackle the resolution of a specific variant of the problem called in the literature vehicle routing problem with flexible time windows (VRPFlexTW), when the solution has to obey several other constraints, such as the consideration of travel, service, and waiting time together with time-window restrictions.  There are proposed two modified versions of the Multi-objective Adaptive Large Neighbourhood Search (MOALNS).  The MOALNS approach and its different components are described. Also it is listed a computational comparison between the MOALNS versions and the Ant colony optimiser (ACO) on a few instances of the VRPFlexTW.

vehicle routing problem
flexible time window
operation research
numerical simulation
adaptive large neighbourhood search
meta-heuristic algorithm
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