Field Guide to Genetic Programming Google Group

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pojarajan.pavit...@gmail.com (pavithra.bose) — Wed, 10 Oct 2008 15:00:35 UT

Re: [Field Guide to GP] C# conversion

alexei.eleu...@gmail.com (Alexei Eleusis Díaz Vera) — Fri, 09 Sep 2008 00:36:33 UT

If what you need is to run or reference tiny_gp in .Net or mono, you can
also use IKVM.NET <[link]>. I'm using it to run ECJ in .Net
and works fine.
Best wishes
Alexei
2008/9/22 Stedak <st...@theketchams.com>

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Re: [Field Guide to GP] Re: C# conversion

noj...@gmail.com (nojhan) — Wed, 09 Sep 2008 11:33:33 UT

However, there exists several benchmarks that can be used to validate
evolutionary computation, but most of them are problem-centered.
Hopefully, the CEC benchmarks is specifically designed to compare
evolutionary algorithms, thus being a nice tool to start
experimentations :
[link]

Re: C# conversion

rp...@essex.ac.uk — Wed, 09 Sep 2008 11:12:59 UT

We don't have test data of the type you mention. Because of the use of
random number generators, it is difficult to compare results across
implementations in different languages. So, unless you had exactly the
same random number generator implementation, there would be
differences in the output produced (even if we gave both generators

C# conversion

st...@theketchams.com (Stedak) — Mon, 09 Sep 2008 19:08:33 UT

I am attempting to convert the tiny_gp.java to c#.

Are there any test cases available (i.e. fitness data with a know
result set)?

Thanks!

Steve K.

A question about your TinyGP

mostafa.kalan...@gmail.com (Mostafa Kalantar) — Sun, 08 Aug 2008 19:36:49 UT

I downloaded Genetic Programming program (tiny_gp.java) from the web
page of professor Riccardo Poli and run it with and sin-data.txt file
(also downloaded from tiny gp web page) but each time I run the
program I get the message 'Problem *Not* solved', I increased the
number of generations from 100 to 10000 but at generation 280 I get an

Re: some question

rp...@essex.ac.uk — Thu, 06 Jun 2008 16:11:49 UT

Hi,

the run procedure implements a recursive interpreter. It treats every
primitive as a macro, so the primitive must itself invoke the
interpreter (run) if and when necessary. So, it is essentially the
same algorithm as the one you refer to. However, for efficiency
reasons, we keep the code that implements each primitive within the

Re: some question

lyani.sihomb...@gmail.com (Lyani) — Wed, 06 Jun 2008 10:27:21 UT

hi,

algorithm 3.1 (page 25) tells about Interpreter for GP, is this
algorithm have any relation with the evaluation procedure (run)?
because it is written (by a comment) that this method is interpreter.
is this algorithm will hep me to make changes the evaluation procedure
(run)?

thank you for helping me learn more clearly,

Re: some question

rp...@essex.ac.uk — Tue, 05 May 2008 09:55:27 UT

Hi Lyani,

Tiny GP can use variables and random constants. The first line of the
input data file tells the program how many variables your problem has,
then it tells it how many random constants GP can use, and then it
provides two values that represent the range (min,max) from which the
random constants are drawn. (The final element if the first line is

computational effort

forrest.syntie...@gmail.com (Forrest Bennett) — Fri, 05 May 2008 03:52:46 UT

People in our group wanted to see more info about the population size
and number of gens and computer time to solve different kinds of
problems. I suppose it's a thankless task, but something as simple as
a giant table would be great. Maybe someone could put up a empty table
on a wiki page and invite folks in the GP community to fill in the

some question

lyani.sihomb...@gmail.com (Lyani) — Wed, 05 May 2008 06:11:37 UT

hello,

it's written on section B.1 about characteristics of TinyGP, and point
1 said that the terminal is a user-definable number of floating point
variables (named x1 to xn).

is it mean that TinyGP only use variables (one of the terminal set
mentioned on table 3.1) as the terminal?
is it mean TinyGP can't use constant values and 0-arity functions

Re: Tiny GP and random numbers

nic.mcp...@gmail.com (Nic McPhee) — Mon, 05 May 2008 13:02:42 UT

I think it would help if we knew more about the nature of your project
and what you're trying to accomplish. There have been a number of
papers on combining GP and PSOs (Riccardo and Bill being authors of
several), so it certainly can be done. Riccardo's TinyGP code is
fairly specialized for symbolic regression problems, however, and