how can I optimize a neural network with multiple outputs using the Genetic Algorithm ?
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I have trained a neural network using the Neural net fitting app, my neural network have 3 inputs and 4 outputs. I want to optimize the neural network using the Genetic Algorithm but the problem is whenever I use the optimization app and include the following script I always get an error telling me that my neural network has several outputs and that the app only takes one output at a time to be able to give me the optimal conditions. ( For more info I am trying to optimize my neural network so that it gives me the optimal conditions to maximize my 4 outputs at the same time). Is there a way can change the script so that it can work with 4 outputs or is it impossible to do with the Genetic algorithm.
function y = fonc(x)
saveVarsMat = load(EA.mat');
net = saveVarsMat.net;
y = -(net(x'));
Alan Weiss on 6 May 2022
Generally speaking, optimization algorithms try to minimize a single scalar function of the input variables x. I don't know what your neural network is outputting that you are trying to "optimize," where I put that word in quotes because I am not sure that you are trying to minimize something.
Sometimes people want to minimize a difference between an output vector fonc(x) and a known vector known. In that case, the usual objective function is the sum of squares of differences:
f = sum((fonc(x) - known).^2);
MATLAB mathematical toolbox documentation