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 migrantsοΏ½ formation which is the movement of individuals between subpopulations. In this study, migrants are introduced in 3 populations (7οΏ½7, 5οΏ½5 and 3οΏ½3) for a second order process and verified the improvement in the genetic optimization of the process.