How can I convert symbolic equation to fitness function which can be evaluated by genetic algorithm
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Hi,
I have a symbolic equation and wish to convert to a function which can be evaluated by genetic algorithm (ga). I have tried using the matlabFunction and convert the symbolic equation into a matlab file. However, this generated file can only be evaluated by fmincon or patternsearch algorithms and not genetic algorithm. I get this error using ga.
Caused by: Failure in initial user-supplied fitness function evaluation. GA cannot continue.
It seems like the matlabFunction does not generate the format required by ga, can anyone please advise what's the solution/workaround to this problem?
Thanks!
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回答 (3 件)
Alan Weiss
2014 年 1 月 22 日
fmincon and patternsearch expect that the variable x is a column, though they are pretty forgiving if it is something else. ga expects that x is a row. So perhaps you should have
X = sym('x',[1 2*N]);
I could not check this because I do not know what P and price are.
Alan Weiss
MATLAB mathematical toolbox documentation
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Ashley Thornton
2015 年 8 月 20 日
Thanks so much. I was having the exact same problem, your solution worked a treat.
Walter Roberson
2014 年 1 月 21 日
Please show symvars() of the symbolic expression, and show the call to matlabFunction that you used. Please also show the first bit of the generated function -- in particular, the part inside the @() header. Please show your call to ga()
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