한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)

한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지

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
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

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.

키워드