I need to create genetic algorithm to learn fuzzy systems. I know how work each of them. But my problem is how to do learn fuzzy systems by GA.
I want to implement this algorithm in Michigan type. It means one rule in one chromosome. And now i have algrithm with chromosoms e.g [1 2 2] means IF x1 is small and x2 is medium then y1 is medium. What to do next? I need to implement this for sets PID regulator parameters. I need to create some rule base. But for what? And how to check which one of chromosome is better? My adaptation function is setting time and rise time from last generetion.