International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
The Fuzzy Logic Controller (FLC) is very much useful in more complex situations which cannot be dealt mathematically. By providing the knowledge about the complex system, Fuzzy logic controller (FLC) can be developed and formed into a number of fuzzy rules. Since, FLC needs more human approach to control, Genetic algorithm is introduced for the purpose of the design and optimization of fuzzy rule base. But due to some problems like messy overlapping of membership functions and redundant rules, simple GA is not enough. To overcome the above situations, it is better to introduce the migrants’ formation which is the movement of individuals between subpopulations. In this study, migrants are introduced in 3 populations (7×7, 5×5 and 3×3) for a second order process and verified the improvement in the genetic optimization of the process.
How to cite this article:
S. Vijayachitra , A. Tamilarasi and N. Kasthuri . Innovative Migrants’ Operators for Improved Genetic Optimization of Fuzzy Logic Controller.
DOI: https://doi.org/10.36478/ijscomp.2008.461.466
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2008.461.466