Decomposition Approach to Solve Dial-a-Ride Problems Using Ant Computing and Constraint Programming

  • Broderick Crawford
  • Carlos Castro
  • Eric Monfroy
  • Claudio Cubillos
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4729)


In this paper we solve the Dial-A-Ride Problem (DARP). The main objective of the DARP is to minimize operation costs for renting pieces of work from the transportation service providers. The resolution approach considered in this work, starting from a network formulation of the DARP, decomposes the problem in two phases: Clustering and Chaining. We model both phases like a Set Partitioning Problem (SPP) and solve them with an interesting sinergy between two different optimization methods: Ant Computing and Constraint Programming.


Dial-A-Ride Problem Ant Colony Optimization Constraint Programming 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Broderick Crawford
    • 1
    • 2
  • Carlos Castro
    • 2
  • Eric Monfroy
    • 2
    • 3
  • Claudio Cubillos
    • 1
  1. 1.Pontificia Universidad Católica de ValparaísoChile
  2. 2.Universidad Técnica Federico Santa María, ValparaísoChile
  3. 3.LINA, Université de NantesFrance

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