Paper Title:
Interactive Genetic Algorithms with Grey Level of Individual Interval Fitness
  Abstract

For the problem that interactive genetic algorithms lack a way of measuring uncertainty of comment, a method with grey level for uncertainty of individuals evolutionary is proposed in this paper in which the individual fitness is an interval. Through analyzing these fitness grey level, information reflecting the distribution of an evolutionary population is abstracted. Based on these, the adaptive probabilities of crossover and mutation operation of an evolutionary individual are proposed.

  Info
Periodical
Chapter
Chapter 3: Computational Methods for Engineering
Edited by
Elwin Mao and Linli Xu
Pages
193-197
DOI
10.4028/www.scientific.net/AEF.1.193
Citation
G. S. Guo, Y. P. Liu, "Interactive Genetic Algorithms with Grey Level of Individual Interval Fitness", Advanced Engineering Forum, Vol. 1, pp. 193-197, 2011
Online since
September 2011
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