Iterated Function System-Based Crossover Operation for Real-Coded Genetic Algorithm ()
Abstract
An iterated function system crossover
(IFSX) operation for real-coded genetic algorithms (RCGAs) is presented in this
paper. Iterated function 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.
Share and Cite:
Ling, S. (2015) Iterated Function System-Based Crossover Operation for Real-Coded Genetic Algorithm.
Journal of Intelligent Learning Systems and Applications,
7, 37-41. doi:
10.4236/jilsa.2015.72004.
Conflicts of Interest
The authors declare no conflicts of interest.
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