Variable length Chromosomes in Genetic Algorithms for Modeling the Class Boundaries

  • Bandyopadhyay, Sanghamitra (Machine Intelligence Unit Indian Statistical Institute) ;
  • Pal, Sankar K. (Machine Intelligence Unit Indian Statistical Institute) ;
  • Murthy, C.A. (Machine Intelligence Unit Indian Statistical Institute)
  • 발행 : 1998.06.01

초록

A methodology based on the concept of variable string length GA(VGA) is developed for determining automatically the number of hyperplanes and their appropriate arrangement for modeling the class boundaries of a given training data set in RN. The genetic operators and fitness functionare newly defined to take care of the variability in chromosome length. Experimental results on different artificial and real life data sets are provided.

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