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Fittest ChromosomeHi there!!!
I was wondering if there is any way after finding a fittest chromosome in a population which might not have absolutely perfect fitness to use a GA to alter its genes in such a way that we will achieve a better solution. Thanks for your time manolakis |
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Re: Fittest ChromosomeManolakis,
unless I am misunderstanding the question, isn't the whole point of the JGAP GA to find the fittest possible solution in the first place? The algorithm should at first quickly and then later slowly produce incrementally better solutions. So if you want a better solution, just let JGAP run faster. Some of the operators for crossover are very good for quickly converging to better solutions. Other operators including some mutation ones may be better used to fine-tune your results to get even better fitnesses. But the JGAP algorithm should do all of this... Unless I misunderstood the question.. Florian On Mon, May 12, 2008 at 11:49 AM, Klaus Meffert <jgap@...> wrote: Manolakis, ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ jgap-users mailing list jgap-users@... https://lists.sourceforge.net/lists/listinfo/jgap-users |
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