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Topic: Generation Information from Genetic Algorithm
Replies: 6   Last Post: May 14, 2013 9:26 AM

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Alan Weiss

Posts: 1,430
Registered: 11/27/08
Re: Generation Information from Genetic Algorithm
Posted: May 13, 2013 8:32 AM
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On 5/13/2013 12:10 AM, Maninder wrote:
> Hi Alan,
> I have some similar doubts and would appreciate if you could give some
> suggestions
> I am using Genetic Algorithm for optimization of a computationally
> expensive fitness function which also has constraints . I am right now
> imposing constraints in the form of penalty in to the objective
> function since constraint violation can only be calculated at the end
> of the function evaluation. I wanted to use nonlcon rather to satisfy
> the constraints.
> But my problem is that the fitness function evaluation is expensive
> and I cant afford to do it again for checking of constraint violation.
> I have seen some nested function formulations where using output
> function I can accumulate all the individual variable values for every
> generation.
> As per what I was thinking, would it be possible to have sort of a
> matrix in which I can store all the individual values at the beginning
> of a generation update that matrix while my fitness evaluations and
> when I call nonlcon for constraint evaluation, then to look up that
> updated matrix for constraint violation. While I am trying to
> implement this, I have some doubts.
> 1) I remember reading in some forum that outputfcn for Genetic algo
> can be called either at the beginning of a generation or at the end.
> By default, it is at the end. I wont be able to execute my method if
> it calls at the end. Sadly I am not able to find how to call the
> outputfcn at the beginning rather than the end of a generation.
> 2) Since my fitness function is computationally expensive, I am using
> Parallel evaluations. So Would it be possible to implement the above
> mentioned idea while using parallel option in matlab or it would
> create some difficulties??

Perhaps what you are looking for is explained in some recent documentation:

As for your particular tentative approaches, you have to be careful
calling parfor with data files, you might have to use spmd commands or
some other parallel construct. Sorry, I am not an expert on parallel
computation in MATLAB.

Good luck,

Alan Weiss
MATLAB mathematical toolbox documentation

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