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Iterated Function System-Based Crossover Operation for Real-Coded Genetic Algorithm
Centre for Health Technologies, University of Technology, Sydney, Australia
- 1 Centre for Health Technologies, University of Technology, Sydney, Australia
Journal of Intelligent Learning Systems and Applications·Volume 07 (2015)·Pages 37–41·Published 15 April 2015·DOI10.4236/jilsa.2015.72004
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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.
KeywordsGenetic AlgorithmIterated Function SystemCrossover Operation
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