Quoting steve ahlgren :

I've messed around with genetic optimization routines and have applied them to a number of different applications with excellent success. I would love to see a "real" toolkit available in something like boost.

It shure would be fancy.

What algorithms have you implemented?

Well, the old function regression was my first implementation, but since then the code has changed a lot. I'm currently working on the Serengeti-problem (with lions and a gazelle, you know). It's not running yet, because of design dilemmas.. urk.. There are two things I have difficulties with: first i'd like to put values in the edges. But my implementation uses different value types in one graph, like a double and a vector of doubles. How does one implement that in boost? Second, it seems that I have to use indices with each node, in order to put the right edges in the right slots. So what kind of container should be used?

I'll have to dig through my old code to see what I have lying around.

I'd love to see what you've got.

Great idea;

I know! regards, Martin Jynge