how to write a code for fitness function(i don't have the exact fitness function but have the training data)?

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i have training data with 3 input parameters and 2 output parameters, based on that I want to use neural network to train that data and use it as a fitness function in optimization of output parameters using genetic algorithm.
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sethu
sethu 2015-6-12
thanks for the reply, actually i am trying to maximize the 2 outputs. Using neural network i was actually able to train the network, but to maximize the output using genetic algorithm i need an objective function , i am asking how to call that neural network as an objective function. Basically , i have certain data by which i created the neural network and trained it so that for given inputs it could predict the outputs in future . Now i want to use Neural network as an objective function and maximize both the outputs
sethu
sethu 2015-6-12
编辑:sethu 2015-6-12
suppose (x1,x2,x3) be my inputs and (y1,y2) be my outputs, i have data for certain set of values of (x1,x2,x3)and corresponding (y1,y2) values. using those sets of values, i tried to create a network so that it could predict the values of (y1&y2) for unknown set of (x1,x2,x3). Now i want to find the values of (x1,x2,x3) in the given bound{i,e., i want to give a lower and upper bounds for each x} for which both the outputs y1 and y2 are maximum(i.e, non-inferior solutions) using genetic algorithm

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Greg Heath
Greg Heath 2015-6-13
So far, the problem is ill-posed because " for which both the outputs y1 and y2 are maximum " doesn't make sense.
There is no guarantee that the maxima of y1 and y2, will occur for the same set of input values.
You have to define a single valued function, for example y1^2 + y2^2
Hope this helps.
*Thank you for formally accepting my answer*
Greg
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sethu
sethu 2015-6-13
Hello greg, thank you for the reply. I know that the maxima of y1 and y2 , will not occur for the same set of input values, so that's why i asking for non-inferior solutions(i.e., by using multibjective optimization){syntax-gamultiobj) But my question is how to connect that neural network as an objective function for optimization.Plz provide answer with example. Thank you

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更多回答(1 个)

milad moradpour
milad moradpour 2015-6-16
编辑:Greg Heath 2016-9-26
Dear sethu,
I have a similar problem. I am able to
run an external simulator to obtain
corresponding outputs for the certain
inputs. Or I could avoid dynamic
cosimulation with the external
simulator, run a parametric analysis
with the simulator, and finally use a
set of inputs-outputs data to find a
mapping function. But, for each case,
the question still is that how could I
define the objective function in a
genetic algorithm code. Did you succeed
to solve the problem?
Regards, Milad

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