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PMDGP is an object oriented framework written in C++ for implementing geneticprogramming problems. Once a GP problem has been implemented using the framework, a GUI client and Server can be used do distribute the fitness evaluation.
GenP GeneticProgramming Library is a cross-platform library of geneticprogramming functions for generic application. Initially it's purpose is for machine learning in board games but should be applicable to any purpose.
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Multi Expression Programming is a geneticprogramming method that encodes multiple solutions. It aims to solve difficult problems like classification or symbolic regression.