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Regional Traffic Assignment by ACO

Preliminary Results
  • Vittorio Maniezzo
  • Matteo Roffilli
  • Roberto Gabrielli
  • Alessandra Guidazzi
  • Manuel Otero
  • Rolando Trujillo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5217)

Abstract

An established research line in ACO systems supports the intuition that ant algorithms are particularly fit for dynamic optimization problems because of their ability to construct an internal representation of the essential elements of the problem to solve, a representation which needs to be updated and not reconstructed when the instance changes.

References

  1. 1.
    Wardrop, J.G.: Some theoretical aspects of road traffic research, vol. PART II, Vol.1, pp. 325–378. Institute of Civil Engineers, Palo Alto (1952)Google Scholar
  2. 2.
    Caro, G.D., Dorigo, M.: Antnet: Distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research 9, 317–365 (1998)zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Vittorio Maniezzo
    • 1
  • Matteo Roffilli
    • 1
  • Roberto Gabrielli
    • 2
  • Alessandra Guidazzi
    • 2
  • Manuel Otero
    • 3
  • Rolando Trujillo
    • 3
  1. 1.Dept. Computer ScienceUniversity of BolognaBolognaItaly
  2. 2.Province of Forlì - CesenaForlì and CesenaItaly
  3. 3.University of HavanaHavanaCuba

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