Error in Genetic Algorithm ??
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I want to solve linear system of equations Ax=b, with ... A is 27*27 matrix, b is 27*1 vector, and x is 27*1..
A_struuct=load('A.mat');
A=A_struuct.A;
obs_struct=load('obs.mat');
obsb=obs_struct.obs;
x0=ones(27,1);
Fun=@(x) norm(A*x-obs,2);
nvars=27;
best_x=ga(Fun,nvars);
Error is
Error using *
Inner matrix dimensions must agree.
Error in @(x)norm(A*x-obs,2)
Error in createAnonymousFcn>@(x)fcn(x,FcnArgs{:}) (line 11)
fcn_handle = @(x) fcn(x,FcnArgs{:});
Error in makeState (line 48)
firstMemberScore = FitnessFcn(state.Population(initScoreProvided+1,:));
Error in gaunc (line 41)
state = makeState(GenomeLength,FitnessFcn,Iterate,output.problemtype,options);
Error in ga (line 348)
[x,fval,exitFlag,output,population,scores] = gaunc(FitnessFcn,nvars, ...
Error in last_kubik (line 182)
best_x=ga(Fun,nvars);
Caused by:
Failure in initial user-supplied fitness function evaluation. GA cannot continue.
2 Commenti
Risposte (1)
Jan
il 20 Feb 2018
Modificato: Jan
il 20 Feb 2018
As soon as you create a standard function instead of an anonymous one, you can use the debugger to find out the details:
function y = Fun(x, obs)
y = norm(A * x - obs, 2);
end
And to call the optimization tool (anonymous function only to provide the parameter obs):
F = @(x) Fun(x, obs); % Or "obsb"?
best_x = ga(F, nvars);
Now enable the debugger:
dbstop if error
If Matlab stops at the error, check the dimensions of A, x and abs
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