Ling, S. H. (2015) Iterated Function System-Based Crossover Operation for Real-Coded Genetic Algorithm. Journal of Intelligent Learning Systems and Applications, 07 (02). pp. 37-41. ISSN 2150-8402
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Official URL: https://doi.org/10.4236/jilsa.2015.72004
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.
| Item Type: | Article |
|---|---|
| Subjects: | Digital Academic Press > Medical Science |
| Depositing User: | Unnamed user with email support@digiacademicpress.org |
| Date Deposited: | 25 Jan 2023 10:16 |
| Last Modified: | 09 May 2024 12:32 |
| URI: | http://science.researchersasian.com/id/eprint/216 |
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