Genetic algorithm-based clustering and its new mutation operator

  • Authors:

  • Arit Thammano;Uraiwan Kakulphimp

  • Affiliations:

  • Computational Intelligence Laboratory, Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand;Computational Intelligence Laboratory, Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

  • Venue:
  • ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
  • Year:
  • 2006

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Abstract

This paper proposes an extension to the original GA-clustering algorithm by introducing a new way to mutate the chromosome. The new mutation operator takes the previous values of the chromosome into account when mutating the chromosome. The superiority of the proposed approach over the original GA-clustering algorithm and K-means algorithm is demonstrated by using 6 benchmark data sets.