global optimization ga with anonymous function

2015 2 8
1 个回答
更新时间：2015 2 11
2 次查看（30 天）

0 个投票

Hello, I'm practicing using global optimization toolbox. I have matrix of "Observed" and "Time", and function to calculate the least sum of squared, "my_fun". Using ga produced some errors... Could you tell me what's wrong? Note, error messages were translated to English from Japanese, so it might not quite correct.
Thank you!
Observed =
6.0111
5.9374
3.4616
1.1857
1.3133
3.2228
4.8029
5.9841
4.8722
2.3978
>> Time
Time =
1
2
3
4
5
6
7
8
9
10
function z = my_fun(x,Time,Observed) y=x(:,1).*sin(Time)+x(:,2); z=sum(abs(Observed-y));
f = @(x)my_fun(x,Time,Observed) ;
options = gaoptimset('Vectorized','on'); [x fval] = ga(f,2,[],[],[],[],[],[],[],options);
error: .* The dimension of matrix has to match.
error: my_fun (line 5) y=x(:,1).*sin(Time)+x(:,2);
error: @(x)my_fun(x,Time,Observed)
error: createAnonymousFcn>@(x)fcn(x,FcnArgs{:}) (line 11) fcn_handle = @(x) fcn(x,FcnArgs{:});
error: makeState (line 64) Score = FitnessFcn(state.Population(initScoreProvided+1:end,:));
error: gaunc (line 40) state = makeState(GenomeLength,FitnessFcn,Iterate,output.problemtype,options);
error: ga (line 356) [x,fval,exitFlag,output,population,scores] = gaunc(FitnessFcn,nvars, ...
Cause: Failure in initial user-supplied fitness function evaluation. GA cannot continue.

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回答（1 个）

Alan Weiss
Alan Weiss 2015-2-11

0 个投票

The error is clear:
y=x(:,1).*sin(Time)+x(:,2);
The sizes of the matrices x(:,1) and Time are not the same. You can use the debugger, set a break point in my_fun before line 5, and manually check the sizes of these matrices while the program is running.
Alan Weiss
MATLAB mathematical toolbox documentation

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