Hi all Ive been learning about GA's for a little while and Im now looking for some fun little projects that could be made using them? Any ideas would be great. Thanks.

I wrote a program that used a simple GA implementation to find a solution to a simple mathematical problem. I basically wrote a small virtual machine that had a very simple instruction set. I picked a begin and end integer and had the GA evolve a solution for getting from the begin integer to the end using the instruction set. The virtual pc basically had a 2 entry deep stack and the instructions worked on those to entries, MUL, ADD, SWAP etc.

Try that.

I suppose it depends on how indepth and complicated you want to get.

Have you managed to write any GA applications at all, even simple ones?

If not something simple like 'bitmax' is a good start in terms of visualising how a GA works in my view. More complicated problems but i think only slightly harder to code could be 'Deceptive-Trap functions'.

Give em a look.

Regards Wolfe

yeah Ive made a couple but only basic. Thanks for the ideas. Ill have a look at trap functions.

Quote: Original post by Helo7777
Hi all
Ive been learning about GA's for a little while and Im now looking for some fun little projects that could be made using them? Any ideas would be great.
Thanks.

A partical animation engine which uses the viewer as the judgement evaluator to select from say 4 candidates (or 2 of 7 ???) with the genetic mechanism then supplying new candidates based on the users selection. The result would be subjective to a particular user of course but the visual aspect makes it more WOWistic than a bunch of graphs or tables of data.

Defining the genes to correspond to color/colorshift partical duration pattern(curve function) fissioning (and fusioning I suppose), movement vector velocities curvings gravity points, emitter patterns (movement/count of those points) etc.. etc.. etc...

Potential grade winning eye-candy.

Wow. Thats a great idea. Lots to think about as there is so much you could define the genes with.