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.