A Comparative Study of Techniques for Avoiding Premature Convergence in Harmony Search Algorithm

  • Krzysztof SzwarcEmail author
  • Urszula Boryczka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11432)


The present article summarizes two techniques allowing to avoid premature convergence in Harmony Search algorithm, which was adapted for solving the instances of the Asymmetric Traveling Salesman Problem (ATSP). The efficiency of both approaches was demonstrated on the basis of the results of statistical test and ‘test bed’ consisting of nineteen instances of ATSP. The conclusion was that the best results were obtained in case of applying mechanisms which enable to reset the components of harmony memory at the moment of reaching stagnation. This process is controlled by parameters which are depended on the problem size.


Harmony Search Asymmetric Traveling Salesman Problem Avoiding premature convergence 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Institute of Computer ScienceUniversity of SilesiaSosnowiecPoland

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