Genetic algorithm giving errors - reg

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Kallam Haranadha Reddy 2017-1-29

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/322380-genetic-algorithm-giving-errors-reg

回答： Geoff Hayes 2017-1-31

I implemented a flow shop scheduling problem in MATLAB R 2009b. But the same m-file and same data when i want to run in MATLAB R 2013a. It is giving error messages.

I tried to run genetic algorithm with the following line:

[x,fval,reason,output] = ga(fitnessfcn1,numberOfVariables,options)

Error messages are given below:

Error using feval
Undefined function 'gaoutputgen' for input
arguments of type 'struct'.
Error in gaoutput (line 29)
    [state,optnew,changed] =
    feval(functions{i},options,state,flag,args{i}{:});
Error in gaunc (line 55)
[state,options] =
gaoutput(FitnessFcn,options,state,currentState);
Error in ga (line 348)
            [x,fval,exitFlag,output,population,scores]
            = gaunc(FitnessFcn,nvars, ...
Error in mainHGA (line 58)
[x,fval,reason,output] =
ga(fitnessfcn1,numberOfVariables,options)

But the same program worked well in MATLAB R 2009b.

How can i run it in MATLAB R 2013a.

Thanks

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Walter Roberson 2017-1-29

What options did you pass in?

Kallam Haranadha Reddy 2017-1-31

编辑：Geoff Hayes 2017-1-31

在 MATLAB Online 中打开

I used the following options for running the Genetic Algorithm

options = gaoptimset('PopulationType', 'custom');
options = gaoptimset(options,'CreationFcn',inpop, ...
'CrossoverFcn',@mycrossoverOrder, ...
'MutationFcn',@mymutate_RX, ...
'PlotFcns',@gaplotbestf, ...
'Generations',2000,'PopulationSize',200, ...
'OutputFcn',@gaoutputgen,...
'StallGenLimit',2000,'TimeLimit',100,...
'StallTimeLimit',1000,'Vectorized','on');

This program run well in MATLAB R 2009b. But it is showing error messages in MATLAB R 2013a.

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Answer 1

Geoff Hayes 2017-1-31

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/322380-genetic-algorithm-giving-errors-reg#answer_252753

在 MATLAB Online 中打开

According to the 2013a documentation found here, the signature for the output function is

[state,options,optchanged] = myfun(options,state,flag)

with the input arguments are defined as

options — Options structure
state — Structure containing information about the current generation. The State Structure describes the fields of state.
flag — String indicating the current status of the algorithm

Given the error message, Undefined function 'gaoutputgen' for input arguments of type 'struct', I suspect that this function signature changed from R2009b to R2013a to include a struct input (this would be the options). You will need to modify your gaoutputgen to conform to the (new) expected signature.