Genetic Algorithm (Plot Function)

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Joe
Joe 2016-2-27
回答： Cam Salzberger 2016-3-1
Hi,
I set up an genetic algorithm for running a curve fitting process in order to identify the parameters (a,b,c) of a model equation. The model equation should later predict the experimental data depending on variables (x,y,z).
I used the sum of squares as my objective function:
sse = sum(power(ExperimentalData - ModelOutput,2));
Now I like to observe the actual function (ModelOutput) whiles the algorithm runs using the parameters (design variables) which the algorithm finds at each iteration.
Can someone help me to create such a Plot function which I could include in the GA options (gaoptimset)? I don`t really know which values are availible during the iterations and how I can access them. My initial idea was just to create a function file which includes my model function. This function file gets the parameters plus a range for the variables x,y,z (eg. x =[0:0.001:5]; y =[0:0.001:2]; z =[0:0.001:7])
and the experimental data as an input in order to visualize how the model prediction would look like compared to the experimental data.
How could a solution look like?
I´m looking forward to somebody helping me out with this problem.
Best regards Joe

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回答（1 个）

Cam Salzberger
Cam Salzberger 2016-3-1
Hello Joe,
I understand that you are looking to plot the current output of the model as the genetic algorithm is running. I believe that you will find the 'PlotFcns' property, that can be set with "gaoptimset", to be the most useful. There are a variety of built-in plotting functions. Of them, I believe that the "Best individual" function (@gaplotbestindiv) is what you would like to see. You can also create a custom function, and pass its handle to that property. Custom functions should match the format shown here.
I hope this helps!
-Cam

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