On Nov 21, 2011 11:15 AM, "Ben Stabile" <[log in to unmask]> wrote: > I'm actually interested in the "hybrid" notion that Frederik was asking > about (as opposed to the co-evolutionary solution suggested by Sean). > > My work involves neural networks that have both qualitative and > quantitative characteristics. That is, they have topological structure that > can be evolved with the traditional GP Tree-based approach. However, the > high-dimensional weighted connectivity between nodes, and parameterized > transforms within the nodes, can be efficiently optimized using other > traditional ANN techniques. The way I’ve been dealing with this in the > past, is to evolve networks using GP to “explore” the structural solution > space, and then rely on training (evaluation) to exploit the available > solution sub-space which can be done using GA, gradient descent, and so on. > This is obviously computationally expensive, no matter how you dice it. > > I wonder if an implementation of HyperNEAT<http://eplex.cs.ucf.edu/hyperNEATpage/HyperNEAT.html> > evolution could be added to ECJ that would efficiently blend these things > in an elegant way? Has anyone out there tried this? > > The robotics sensor issues Frederik mentioned, despite my lack of > knowledge in that problem domain, sound very familiar to me. > > Regards, > > Ben Stabile > > > -----Original Message----- > From: Frederik > Sent: Monday, November 14, 2011 11:49 AM > To: [log in to unmask] > Subject: A Mixed GA/GP individual > > Dear all, > > I've been experimenting with ECJ for some weeks now. I have a fellow > student's > code who already succeeded to do develop robot controllers using GP > individuals > and an extern simulator. > > What I want to try now is to evolve some kind of indivual where the > controller still > is a GP individual (subpopulation 0?) but the senors are coded into a > vector of bits > or integers (subpopulation 1?) . Breeding should be between vectors or > controllers > of the same individuals. Is there an easy way to do such a thing? Is there > a > similar predifined parameter file for this? > > > Thank you in advance, > With kind regards, > Frederik >