GENETIC ALGORITHMS VS . CLASSICAL SEARCHTECHNIQUES FOR IDENTIFICATION OF FUZZY MODELSAntoni Jerez

@inproceedings{NebotDept1997GENETICAV,
  title={GENETIC ALGORITHMS VS . CLASSICAL SEARCHTECHNIQUES FOR IDENTIFICATION OF FUZZY MODELSAntoni Jerez},
  author={Angela NebotDept and aticsUniversitat Polit},
  year={1997}
}
  • Angela NebotDept, aticsUniversitat Polit
  • Published 1997
Genetic algorithms (GAs) have been established as a viable technique for search problems across diverse disciplines of science and engineering. In this paper, diierent genetic algorithms are reported that have been implemented and applied to optimization problems in general system theory. The identiication of qualitative models in Fuzzy Inductive Reasoning (FIR) is a complex search problem of behavior analysis. A study of GAs' performance in search problems inherent in qualitative model… CONTINUE READING

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