TY  - JOUR
T1  - Innovative Migrants’ Operators for Improved Genetic Optimization of Fuzzy Logic Controller
AU - , S. Vijayachitra AU - , A. Tamilarasi AU - , N. Kasthuri 
JO  - International Journal of Soft Computing
VL  - 3
IS  - 6
SP  - 461
EP  - 466
PY  - 2008
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2008.461.466
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2008.461.466
KW  - Fuzzy logic controller
KW  -Genetic algorithm
KW  -migrants operators
KW  -well-developed fuzzy sets and rule bases
AB  - 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.
ER  -