Error,, too many input arguments!!

Question

Yasmin Tamimi 2011-3-27

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/4077-error-too-many-input-arguments

采纳的回答： Walter Roberson

function [x,fval] = yasmin

%% Fitness function (objective function) and number of variables

fitnessFcn = @(x) ga_test(x);

numberOfVariables = 1310;

A=[]; %% (2596x1310)

b=[]; %% (1310x1)

Aeq=[]; %% (20x220)

beq=[]; %% (220x1)

%% Decision variables are bounded (either zero or one)

LB = zeros(1,1310);

UB = ones(1,1310);

Bound = [LB;UB];

% Create an options structure to be passed to GA % Three options namely 'CreationFcn', 'MutationFcn', and % 'PopInitRange' are required part of the problem. %% Population size to be at least the value of Number of variables, so that %% the individuals in each population span the space being searched.

options = gaoptimset('CreationFcn',@int_pop,'MutationFcn',@int_mutation, ... 'PopInitRange',Bound,'Display','iter','StallGenL',100,'Generations',150, ... 'PopulationSize',1310,'PlotFcns',{@gaplotbestf,@gaplotbestindiv});

[x,fval] = ga(fitnessFcn,numberOfVariables,A,b,Aeq,beq,LB,UB,[],options);

x

%%************************************************************************* %%*************************************************************************

% Mutation function to generate childrens satisfying the range and integer % constraints on decision variables.

function mutationChildren = int_mutation(parents,options,GenomeLength, ... FitnessFcn,state,thisScore,thisPopulation)

shrink = .01;

scale = 1;

scale = scale - shrink * scale * state.Generation/options.Generations;

range = options.PopInitRange;

lower = range(1,:);

upper = range(2,:);

scale = scale * (upper - lower);

mutationPop = length(parents);

% The use of ROUND function will make sure that childrens are integers.

mutationChildren = repmat(lower,mutationPop,1) + ... round(repmat(scale,mutationPop,1) .* rand(mutationPop,GenomeLength));

% End of mutation function

%%************************************************************************* %%*************************************************************************

function Population = int_pop(GenomeLength,FitnessFcn,options)

totalpopulation = sum(options.PopulationSize);

range = options.PopInitRange;

lower= range(1,:);

span = range(2,:) - lower;

% The use of ROUND function will make sure that individuals are integers.

Population = repmat(lower,totalpopulation,1) + ... round(repmat(span,totalpopulation,1) .* rand(totalpopulation,GenomeLength));

% End of creation function

When I run my m-file from the command line I write: x=ga(@ga_test,1310,A,b,Aeq,beq,LB,UB,[],options) OR [x,fval]=ga(@ga_test,1310,A,b,Aeq,beq,LB,UB,[],options)

and I get error using ga,, Too many input arguments

So I also tried : x=ga(yasmin) but I keep getting the same error.

Any help in this regard will be highly appreciated

Thanx in advance.

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Atakan 2011-3-28

just try yasmin on command window,it will work...

Yasmin Tamimi 2011-3-28

Actually this is what I've done, but unfortunately it didn't work!!

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Answer 1

Walter Roberson 2011-3-27

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/4077-error-too-many-input-arguments#answer_5790

Which version are you using?

Please check

which -all ga

If you see anything other than an entry under the gads toolbox, you might have a conflicting function.

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Yasmin Tamimi 2011-3-29

When I read the manual of matlab R2010a GenomeLength is defined as the number of independent variables in the fitness function (I use 30 variables in my fitness function), but in the following link it is defined as number of variables which is 1310 (I've tried both 1310 & 30 but I still get the error). http://www.mathworks.com/support/solutions/en/data/1-1C90Z/index.html?product=GD&solution=1-1C90Z

In ga_test() function I have only 30 variables from x(1) till x(30)others are zeros. As for the inequalities and equalities they depend on the number of variables I'm using in my problem (from x(1) till x(1310)); (this is the updated version of my matrices dimensions):

A(2596X1310)*X(1310X1) <= b(2596X1); (A*X <= b)

A(20X1310)*X(1310X1) <= b(20X1); (A*X = b) (i.e I have 20 equality contraints which consists of 1310 variables)

My errors appear in this part of the code:

% Mutation function to generate childrens satisfying the range and integer % constraints on decision variables.

function mutationChildren = int_mutation(parents,options,GenomeLength, ... FitnessFcn,state,thisScore,thisPopulation)

shrink = .01;

scale = 1;

scale = scale - shrink * scale * state.Generation/options.Generations;

range = options.PopInitRange;

lower = range(1,:);

upper = range(2,:);

scale = scale * (upper - lower);

mutationPop = length(parents);

% The use of ROUND function will make sure that childrens are integers.

mutationChildren = repmat(lower,mutationPop,1) + ... round(repmat(scale,mutationPop,1) .* rand(mutationPop,GenomeLength));

% End of mutation function

%%************************************************************************* %%*************************************************************************

function Population = int_pop(GenomeLength,FitnessFcn,options)

totalpopulation = sum(options.PopulationSize);

range = options.PopInitRange;

lower= range(1,:);

span = range(2,:) - lower;

% The use of ROUND function will make sure that individuals are integers.

Population = repmat(lower,totalpopulation,1) + ... round(repmat(span,totalpopulation,1) .* rand(totalpopulation,GenomeLength));

% End of creation function

Walter Roberson 2011-3-29

Are you trying to put in a numeric value for GenomeLength in a 'function' line? That isn't allowed. If you must, for some reason, override the value you are passing in (something that is more often a mistake than not) then use an assignment after the 'function' line, such as

GenomeLength = 1310;

Yasmin Tamimi 2011-3-29

Yes, that was my error. I've been using numeric values in a function line!! I run my example for both GenomeLength = 1310 which was wrong and the correct was for GenomeLength = 30 (#variables in the fitness function only)as defined in the reference manual.

Thank u very much for ur help.

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