Volume 6, Issue 1, January 2013, Pages 47 - 63
Parameters control in GAs for dynamic optimization
Khalid Jebari, Abdelaziz Bouroumi, Aziz Ettouhami
Received 1 February 2012, Accepted 20 August 2012, Available Online 2 January 2013.
- https://doi.org/10.1080/18756891.2013.754172How to use a DOI?
- Genetic Algorithms, Unsupervised Learning, Fuzzy Clustering, Dynamic Optimization, Evolutionary Algorithms, Fitness Sharing, Multi-modal function optimization, Generalized dynamic benchmark generator (GDBG)
The Control of Genetic Algorithms parameters allows to optimize the search process and improves the performance of the algorithm. Moreover it releases the user to dive into a game process of trial and failure to find the optimal parameters.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Khalid Jebari AU - Abdelaziz Bouroumi AU - Aziz Ettouhami PY - 2013 DA - 2013/01/02 TI - Parameters control in GAs for dynamic optimization JO - International Journal of Computational Intelligence Systems SP - 47 EP - 63 VL - 6 IS - 1 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2013.754172 DO - https://doi.org/10.1080/18756891.2013.754172 ID - Jebari2013 ER -