Error in genetic algorithm in toolbox

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b 2012-5-11

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https://ww2.mathworks.cn/matlabcentral/answers/38083-error-in-genetic-algorithm-in-toolbox

采纳的回答： Sean de Wolski

I am trying again and again on genetic algorithm toolbox(GUI). When i run my algorithm, the error occurs as;

Optimization running.Error running optimization. Too many input arguments.

Why this occurs?

Thanks...

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Answer 1

Sean de Wolski 2012-5-11

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What functions are you using? What code are you calling them with?

If you run:

dbstop if error

to stop with the debugger when an error is encountered, and then run the code as you are doing. It will stop with the debugge ron that line and you will see that you are feeding more inputs to whatever you are calling than it can receive.

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b 2012-5-11

Can you help me with the question i wrote below?

Sean de Wolski 2012-5-11

Nope. I don't know what your inputs are and I haven't seen that you'veollowed the debugging steps I've mentioned above. Following these steps will probably make this trivial to solve.

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Answer 2

b 2012-5-11

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I am using(GUI) Rastrigin function as objective function with four variables and real values.

I think(now i realize) in the mutation part of the GA, i have some error. my mutation function is: unction NewChrom = mutbga(initial1, FieldDR, MutOpt);

     if nargin < 2,  error('Not enough input parameters'); end
     [Nind,Nvar] = size(initial1);
     [mF, nF] = size(FieldDR);
     if mF ~= 2, error('FieldDR must be a matrix with 2 rows'); end
     if Nvar ~= nF, error('FieldDR and OldChrom disagree'); end
     if nargin < 3, MutR = 1/Nvar; MutShrink = 1;
     elseif isempty(MutOpt), MutR = 1/Nvar; MutShrink = 1;
     elseif isnan(MutOpt), MutR = 1/Nvar; MutShrink = 1;
     else   
        if length(MutOpt) == 1, MutR = MutOpt; MutShrink = 1;
        elseif length(MutOpt) == 2, MutR = MutOpt(1); MutShrink = MutOpt(2);
        else, error(' Too many parameters in MutOpt'); end
     end
     if isempty(MutR), MutR = 1/Nvar;
     elseif isnan(MutR), MutR = 1/Nvar;
     elseif length(MutR) ~= 1, error('Parameter for mutation rate must be a scalar');
     elseif (MutR < 0 || MutR > 1), error('Parameter for mutation rate must be a scalar in [0, 1]'); end
     if isempty(MutShrink), MutShrink = 1;
     elseif isnan(MutShrink), MutShrink = 1;
     elseif length(MutShrink) ~= 1, error('Parameter for shrinking mutation range must be a scalar');
     elseif (MutShrink < 0 || MutShrink > 1), 
        error('Parameter for shrinking mutation range must be a scalar in [0, 1]');
     end
      FieldDR=[0 0 0 0;20 25 5 5];
     Range = rep(0.5 * MutShrink *(FieldDR(2,:)-FieldDR(1,:)),[Nind 1]);
% zeros and ones for mutate or not this variable, together with Range
   Range = Range .* (rand(Nind,Nvar) < MutR);
     Range = Range .* (1 - 2 * (rand(Nind,Nvar) < 0.5));
     ACCUR = 20;
     Vect = 2 .^ (-(0:(ACCUR-1))');
     Delta = (rand(Nind,ACCUR) < 1/ACCUR) * Vect;
     Delta = rep(Delta, [1 Nvar]);
     NewChrom = initial1 + Range .* Delta;
     NewChrom = max(rep(FieldDR(1,:),[Nind 1]), NewChrom);
     NewChrom = min(rep(FieldDR(2,:),[Nind 1]), NewChrom);