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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
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 -