Ant Colony Optimization and the Single Round Robin Maximum Value Problem

  • David C. Uthus
  • Patricia J. Riddle
  • Hans W. Guesgen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5217)


In this paper, we apply the ant colony optimization metaheuristic to the Single Round Robin Maximum Value Problem, a problem from sports scheduling. This problem contains both feasibility constraints and an optimization goal. We approach this problem using a combination of the metaheuristic with backtracking search. We show how using constraint satisfaction techniques can improve the hybrid’s performance. We also show that our approach performs comparably to integer programming and better than tabu search when applied to the Single Round Robin Maximum Value Problem.


Tabu Search Constraint Satisfaction Problem Quadratic Assignment Problem Feasibility Constraint Round Robin Schedule 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • David C. Uthus
    • 1
  • Patricia J. Riddle
    • 1
  • Hans W. Guesgen
    • 2
  1. 1.Department of Computer ScienceUniversity of AucklandAucklandNew Zealand
  2. 2.School of Engineering and Advanced TechnologyMassey UniversityPalmerston NorthNew Zealand

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