how to write a code for fitness function(i don't have the exact fitness function but have the training data)?
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
sethu
el 8 de Jun. de 2015
Editada: Greg Heath
el 26 de Sept. de 2016
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.
4 comentarios
Respuesta aceptada
Greg Heath
el 13 de Jun. de 2015
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
2 comentarios
Radek
el 15 de Jun. de 2015
Weights plus Biases plus Transfer function =outputs for GA. In you case for MO. You found mathematically form this
Más respuestas (1)
milad moradpour
el 16 de Jun. de 2015
Editada: Greg Heath
el 26 de Sept. de 2016
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
Ver también
Categorías
Más información sobre Genetic Algorithm en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!