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Ono, I. and Kobayashi, S. (1997) A Real-Coded Genetic Algorithm for Function Optimization Using Unimodal Normal Distribution Crossover. Proceedings of the Seventh International Conference on Genetic Algorithms, USA, 19-23 July 1997, 246-253.

has been cited by the following article:

• TITLE: Iterated Function System-Based Crossover Operation for Real-Coded Genetic Algorithm

  AUTHORS: S. H. Ling

  KEYWORDS: Genetic Algorithm, Iterated Function System, Crossover Operation

  JOURNAL NAME: Journal of Intelligent Learning Systems and Applications, Vol.7 No.2, April 15, 2015

  ABSTRACT: An iterated function system crossover (IFSX) operation for real-coded genetic algorithms (RCGAs) is presented in this paper. Iteratedfunction system (IFS) is one type of fractals that maintains a similarity characteristic. By introducing the IFS into the crossover operation, the RCGA performs better searching solution with a faster convergence in a set of benchmark test functions.