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Is there any implementation of a multi-objective genetic algorithm for Mathematica?

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Did you have a look at NMinimize together with method DifferentialEvolution? – Yves Klett Sep 24 '12 at 13:51
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@YvesKlett close but no cigar. Differential evolution is neither a multi-objective optimizer nor a genetic algorithm (it's more of an evolution strategy). To my knowledge the answer is no; there certainly isn't anything in Mathematica itself for this. Anyway, this question by itself is not very informative; it would be useful to know what problem is being attacked here... – Oleksandr R. Sep 24 '12 at 18:04

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I am currently developing an open source Genetic Algorithms library for Mathematica. It can be downloaded from this source. It is documented and, although I have not used it for multi-objective applications, it should provide some help with such applications.

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Thanks for posting! It would be nice if you could provide a few usage examples in the answer – Szabolcs May 10 at 0:09
The documentation of the package has a few examples on how to use it. They are on the directory: /Genetic Algorithms/Documentation/English/Tutorials – chipdelmal May 12 at 15:27
I hope the examples and the package help. I am still working on it, specially in making it faster. I hope I can make some updates after I finish my exams. Have fun. – chipdelmal May 12 at 15:29

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