I would like to perform non-linear multivariate regression using genetic algorithm in matlab.
I have five independent variables and one response. How can I do non-linear regression by minimizing the mean square error in matlab using genetic algorithm?
R = f (x1, x2, x3, x4)
I want to fit the data to the equation similar to the following:
Thus, my objective is to find the constants C1, C2, C3,..., C21 using the GA in matlab by minimizing the difference between the actual response and the response from the model.