How to use "ga" (genetic algorithm) for curve fitting

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Majid Shabani
Majid Shabani 2021-4-16
评论： Majid Shabani 2021-4-17
Hi every body.
I have two available vectors and . I want to fit the function on Γ which , , , , , and should be identifed to fit the function. So, I have Γ and x already existing in my workspace. I used the genetic algorithm as bellow to find , , , , , and .
Fun=@(p1,w1,x,phi1,p2,w2,phi2)(p1*sin(w1*x+phi1)+p2*cos(w2*x+phi2));
Cost=@(p1,w1,phi1,p2,w2,phi2)norm(Gamma-Fun(p1,w1,x,phi1,p2,w2,phi2));
coef=ga(Cost,6)
but things go wrong when I run the code:
Not enough input arguments.
Error in @(p1,w1,phi1,p2,w2,phi2)norm(Gamma-Fun(p1,w1,x,phi1,p2,w2,phi2))
Error in createAnonymousFcn>@(x)fcn(x,FcnArgs{:}) (line 11)
fcn_handle = @(x) fcn(x,FcnArgs{:});
Error in makeState (line 52)
firstMemberScore = FitnessFcn(state.Population(initScoreProvided+1,:));
Error in gaunc (line 45)
state = makeState(GenomeLength,FitnessFcn,Iterate,output.problemtype,options);
Error in ga (line 399)
[x,fval,exitFlag,output,population,scores] = gaunc(FitnessFcn,nvars, ...
Caused by:
Failure in initial user-supplied fitness function evaluation. GA cannot continue.
Can anybody help me how I may solve this problem with genetic algorithm?

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采纳的回答

Walter Roberson
Walter Roberson 2021-4-16
cost_wrapper = @(x) Cost(x(1),x(2),x(3),x(4),x(5),x(6));
coef = ga(cost_wrapper, 6)
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Walter Roberson
Walter Roberson 2021-4-16
cost_wrapper accepts a vector of 6 values and extracts each of the 6 values and passes them one-by-one to Cost.
All of the Mathworks optimizers require functions that accept vectors of values, not individual parameters.

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