An Extension of Ant Colony System to Continuous Optimization Problems

  • Seid H. Pourtakdoust
  • Hadi Nobahari
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3172)


A new method for global minimization of continuous functions has been proposed based on Ant Colony Optimization. In contrast with the previous researches on continuous ant-based methods, the proposed scheme is purely pheromone-based. The algorithm has been applied to several standard test functions and the results are compared with those of two other meta-heuristics. The overall results are compatible, in good agreement and in some cases even better than the two other methods. In addition the proposed algorithm is much simpler, which is mainly due to its simpler structure. Also it has fewer control parameters, which makes the parameter settings process easier than many other methods.


Travel Salesman Problem Continuous Optimization Problem Admissible Range Parameter Setting Process State Transition Rule 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Seid H. Pourtakdoust
    • 1
  • Hadi Nobahari
    • 1
  1. 1.Sharif University of TechnologyTehranIran

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