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Hi Ondrej, In the past I've written individuals out to a C source file, compiled them using GCC and run them through a processor simulator. It is fairly straightforward to implement, I use makeCTree and override this method where necessary. It is quite slow, but there are plenty of ways to speed up the process of compiling and evaluating, depending on the nature of the problem you're trying to solve. I've also recently started using Master-Slave evaluation to run my experiments across machines, which is a very scalable way of dealing with this situation. Whether it will be fast enough for your work depends on the problem you're solving (e.g. can you compile the individual and evaluate it in a single execution? or would you have to re-compile or execute multiple times?) and the number of generations and population size. Cheers David Ondrej Pacovsky wrote: > Hi, > > I was wondering whether someone tried converting the GP individual to > java (or other) code (perhaps by the ECJ to Java converter) and > compiling it before actually running the evaluation. This is of course > quite slow, but for symbolic regression on many training values could be > interesting. Thinking of 10^3 and more evals per individual per > generation. > > -- Ondrej -- David R White Research Student Department of Computer Science University of York York YO10 5DD United Kingdom Phone: +44 (0)1904 434756