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From: James Allison on 11 Mar 2010 13:09
The sim command (network/sim) may help you in getting the neural network
model in the right format to use with the genetic algorithm. For example:

function f = fitnessfcn(x)

% define/load network parameters here, or pass them in as parameters to
fitnessfcn

f = sim(net,x,xi,Ai,T)

You can then use ga to solve the optimization problem (doc ga). If there
are nonlinear constraints you will also need to define a function that
evaluates those. Using a genetic algorithm successfully normally
requires some tuning of the algorithm parameters (such as the number of
generations, etc.).

If you need further help after reading the documentation and examples
for network/sim and ga, you can contact technical support
(www.mathworks.com -> support -> contact support).

-James

kallaks kklla wrote:
> I want optimize processing parameter of injection molding using genetic
> algorithm. but I don't how to use objective function from neural network
> in genetic algorithm to get optimize point. can someone help me.
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