Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6860923 | International Journal of Electrical Power & Energy Systems | 2012 | 10 Pages |
Abstract
⺠We model a genetic based FLC using a different optimization approach. ⺠The optimal FLC ensuring optimal performance is achieved without wasting time. ⺠It is proved that the proposed FLC outperforms the conventional FLC. ⺠The GA tries to seek the best performance for one case but not the best for all. ⺠However, GAs can be run online by the help of high-speed processors in practice.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Nihat Ãztürk, Emre Ãelik,