Re: Qestion!



While having no formal training in AI, I can share my observations with you.

The probability of finding a good fit is low, therefore fast computers are
used. Also it is more probable to find a better fit by a small modification
to the algorithm of one already having a somewhat good fit than try a
completely random one.

As for uncertainty, I test the best ones on other similar problems to see
who handles the difference best.

But one thing is for certain, putting your homework on a news group is no
substitute for studding.

Bill

"armoos" <bocheh@xxxxxxxxx> wrote in message
news:1135707998.417875.213080@xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
> 1) What is the impact of probability in genetic algorithms?
> 2) In genetic algorithms how do we model the uncertainty?
>


.



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