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