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Hybrid Metaheuristic Combining Ant Colony Optimization and H-Method

  • Leonid Hulianytskyi
  • Sergii Sirenko
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6234)

Abstract

The paper presents a hybrid metaheuristic method ACO-H [4] for combinatorial optimization problems that combines two population-based approaches – ant colony optimization (ACO) and H-method. ACO is a multi-agent metaheuristic that has been successfully applied to many difficult optimization problems [1]. H-method is an extension of the discrete downhill simplex method [6] that applies during the search process specially defined segments. Similar to H-method ideas were introduced in the context of tabu search and now are known as path relinking [2].

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Leonid Hulianytskyi
    • 1
  • Sergii Sirenko
    • 1
  1. 1.V.M. Glushkov Institute of Cybernetics NAS UkraineKyivUkraine

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