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I've been doing testing and am limited by the memory issue with strong typing. I'm moving my code over to one of our university's blade servers to get more resources. I have a week before I make my presentation, so any advice on this issue, or tuning GP in general will be greatly appreciated. Things which would help... - getting stats into a format for R -- what works best - picking which stats convey information better for a dumbed down audience - tuning the fitness function (I have 6 figures of merit) - controlling bloat without reducing variance too much This is a school timetable app. There are primarily 3 parts to the timetable: rooms, timeslots and course offerings. Then there are constraints which include instructor availability, room purpose, and curriculum concurrency, among others. The terminal set is 3 ERCs, one each for the 3 parts of the timetable. Then one ERC join function restricted to one of each ERC type, and a generic join restricted to ERC join types. Generally, this is an optimisation problem where one needs to find the right sets of ERCs which satisfy the constraints. I have plans to extend the tree with a conditional function later if I have time. -- ray