Vehicle Routing Problem with Time Windows, Part I: Route Construction and Local Search Algorithms

Olli Bräysy () and Michel Gendreau ()
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Olli Bräysy: Agora Innoroad Laboratory, University of Jyväskylä, P. O. Box 35, FIN-40014 Jyväskylä, Finland
Michel Gendreau: Département d’informatique et de recherche opérationelle, and Centre de recherche sur les transports, Université de Montréal, C.P. 6128, Succursale Centre-ville, Montréal, Canada H3C 3J7

Transportation Science, 2005, vol. 39, issue 1, 104-118

Abstract: This paper presents a survey of the research on the vehicle routing problem with time windows (VRPTW). The VRPTW can be described as the problem of designing least cost routes from one depot to a set of geographically scattered points. The routes must be designed in such a way that each point is visited only once by exactly one vehicle within a given time interval, all routes start and end at the depot, and the total demands of all points on one particular route must not exceed the capacity of the vehicle. Both traditional heuristic route construction methods and recent local search algorithms are examined. The basic features of each method are described, and experimental results for Solomon’s benchmark test problems are presented and analyzed. Moreover, we discuss how heuristic methods should be evaluated and propose using the concept of Pareto optimality in the comparison of different heuristic approaches. The metaheuristic methods are described in the second part of this article.

Keywords: vehicle routing; time windows; heuristics; local search metaheuristics; tabu search; genetic algorithms (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (169)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:39:y:2005:i:1:p:104-118

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