2007
DOI: 10.1080/09720502.2007.10700491
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Ant colony system for a VRP with multiple time windows and multiple visits

Abstract: The Vehicle routing problem with time windows is frequently found in literature, while multiple time windows are not often considered. In this paper a mathematical formulation of the vehicle routing problem with multiple time windows is presented, taking into account periodic constraints. An algorithm based on Ant Colony System is proposed and implemented. Computational results related to a purpose-built benchmark are finally reported.

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Cited by 77 publications
(32 citation statements)
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“…For example, Favaretto et al [8] extend the VRPTW to allow multiple disjoint time windows for each customer. Pellegrini et al [17] also consider multiple time windows and heterogeneous resources.…”
Section: Classical Routing Problemsmentioning
confidence: 99%
“…For example, Favaretto et al [8] extend the VRPTW to allow multiple disjoint time windows for each customer. Pellegrini et al [17] also consider multiple time windows and heterogeneous resources.…”
Section: Classical Routing Problemsmentioning
confidence: 99%
“…Due to the complexity of the problem, metaheuristics are often used for analyzing and solving practical sized instances of this problem [20,16,17]. In this section, the construction procedure of the Ant Colony System algorithm is adapted to solve the VRPTW by considering the design structure and the constraints of this problem.…”
Section: An Ant Colony System Model For the Vrptwmentioning
confidence: 99%
“…Ant colony optimization is a well-known metaheuristic for combinatorial optimization problems. An ant colony system based algorithm was proposed by Favaretto et al [12] to solve VRP with multiple time window constraints. Yu et al recommended an improved ACO, which implements a new ant-weight strategy to update the increasing trail pheromone and a mutation operation to solve VRP [13].…”
Section: Introductionmentioning
confidence: 99%