CompuServe Messages

The genetic part refers to the potential for evolution. The theory revolves around algorithms which mutate(!) and by being used for the selected task are rejected or selected for further usage the idea is that eventually the program is optimised for its task, it also allows for adapting to changing conditions. There has been quite a lot of waffle published about them but not too much in the way of hard facts. This is probably because the primary application is seen in finacial markets and nobody wants their secrets too widely published. Grahame Some wiser cove may point you to specific papers. There was an article in Byte last Fall (or thereabouts)