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Integrating Lookahead and Post Processing Procedures with ACO for Solving Set Partitioning and Covering Problems

  • Broderick Crawford
  • Carlos Castro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)

Abstract

Set Covering Problems and Set Partitioning Problems can model several real life situations. In this paper, we solve some benchmarks of them with Ant Colony Optimization algorithms and some hybridizations of Ant Colony Optimization with Constraint Programming techniques. A lookahead mechanism allows the incorporation of information on the anticipated decisions that are beyond the immediate choice horizon. The ants solutions may contain redundant components which can be eliminated by a fine tuning after the solution, then we explore Post Processing procedures too, which consist in the identification and replacement of the columns of the ACO solution in each iteration by more effective columns. Computational results are presented showing the advantages to use additional mechanisms to Ant Colony Optimization.

Keywords

Constraint Program Pheromone Trail Heuristic Information Post Processing Procedure Forward Check 
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 2006

Authors and Affiliations

  • Broderick Crawford
    • 1
    • 2
  • Carlos Castro
    • 2
  1. 1.Engineering Informatic SchoolPontifical Catholic University of ValparaísoChile
  2. 2.Informatic DepartmentFederico Santa María Technical UniversityChile

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