1. Fuzzy Controller Tuning Using Bioegeography-Based Optimization Dan Simon Cleveland State University

2. Assuming sum-normal triangular MFs, there are five parameters for each input, and five parameters for each ouput Inputs: c  [  5,  3], w i  [0, 3] Output: c  [  0.5,  0.2], w i  [0, 0.3] c w1w1 w2w2 w3w3 w4w4

3. BBO(@CruiseControl); Example BBO run

4. >> VehicleControl; ? paramBBOSave.txt Error = 0.0017093 (Gradient descent error = 0.0056923 unconstrained, 0.0065893 constrained) Retrieve data from a plot: axs = get(gcf, 'Children'); pos = get(axs(1), 'Children'); Y = get(pos, 'YData');

5. PlotMem('paramBBOSave.txt', 2, [5 5], 1, 5)

6. Future Work Optimize other MF shapes with BBO Optimize fuzzy rule base Optimize S-norm, T-norm, defuzzification method, and number of MFs Optimize fuzzy cruise controller for additional operating conditions, or under noisy conditions