It's almost always better to just write your own. Or you might want to consider using a particle swarm optimizer instead. http://www particleswarm.info/Standard_PSO_2006.c?has source code I found useful. http://www.particleswarm.info/Programs.html?has lots of other implementations to choose from.
Either way, coding it up is easy; deciding on a practical fitness function is hard. - Dave Hillis -----Original Message----- From: Petr Baudis <[EMAIL PROTECTED]> To: computer-go@computer-go.org Sent: Fri, 7 Mar 2008 6:41 pm Subject: [computer-go] Automated genetic parameters tuning Hi, does anyone know of any pre-made open framework using genetic algorithms that one could use to tune various parameters of a bot? I have about 6 independent parameters for my bot so far that I would like to find best values for (from domain-specific knowledge hint rates to p parameter of the UCB1 formula), and I would hate to do redundant work implementing such a framework on my own. Thank you, -- Petr "Pasky" Baudis Whatever you can do, or dream you can, begin it. Boldness has genius, power, and magic in it. -- J. W. von Goethe _______________________________________________ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
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