Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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A Fuzzy Clustering Method based on Genetic Algorithm

  • Jo, Jung-Bok (Dept. of Computer Engg., Dongseo University) ;
  • Do, Kyeong-Hoon (Dept. of Computer Engg., Dongseo University) ;
  • Linhu Zhao (Department of mechanical Engineering and Materials Science, Yokohama National University) ;
  • Mitsuo Gen (Dept. of Industrial and information System Engg., Ashikaga Institute of Technology)
  • Published : 2000.07.01
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Abstract

In this paper, we apply to a genetic algorithm for fuzzy clustering. We propose initialization procedure and genetic operators such as selection, crossover and mutation, which are suitable for solving the problems. To illustrate the effectiveness of the proposed algorithm, we solve the manufacturing cell formation problem and present computational comparisons to generalized Fuzzy c-Means algorithm.

Keywords