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GENIUS-CP: A generic single-vehicle routing algorithm

  • Gilles Pesant
  • Michel Gendreaul
  • Jean-Marc Rousseau
Session 6
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1330)

Abstract

This paper describes the combination of a well-known tsp heuristic, genius, with a constraint programming model for routing problems. The result, genius-cp, is an efficient heuristic single-vehicle routing algorithm which is generic in the sense that it can solve problems from many different contexts, each with its particular type(s) of constraints. The heuristic quickly constructs high-quality solutions while the constraint model provides great flexibility as to the nature of the problem constraints involved by relieving that heuristic of all constraint satisfaction concerns. We show how those two components are integrated in a clean way with a well-defined, minimal interface. We also describe different routing problems on which this algorithm can be applied and evaluate its performance.

Keywords

Travel Salesman Problem Travel Salesman Problem Exact Algorithm Precedence Constraint Constraint Satisfaction Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Gilles Pesant
    • 1
  • Michel Gendreaul
    • 1
    • 2
  • Jean-Marc Rousseau
    • 1
    • 2
    • 3
  1. 1.Centre for Research on Transportation, Universite de Montrealsucc. Centre-villeCanada
  2. 2.Departement d'informatique et de recherche opérationnelleUniversite de Montrealsucc. Centre-villeCanada
  3. 3.Les entreprises GIRO inc.MontrealCanada

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