Regional Traffic Assignment by ACO

  • Authors:

  • Vittorio Maniezzo;Matteo Roffilli;Roberto Gabrielli;Alessandra Guidazzi;Manuel Otero;Rolando Trujillo

  • Affiliations:

  • Dept. Computer Science, University of Bologna, Bologna, Italy;Dept. Computer Science, University of Bologna, Bologna, Italy;Province of Forlì - Cesena, Forlì and Cesena, Italy;Province of Forlì - Cesena, Forlì and Cesena, Italy;University of Havana, Havana, Cuba;University of Havana, Havana, Cuba

  • Venue:
  • ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

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.