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EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems ... [More]
Meta-optimizing semantic evolutionary search (MOSES) is a new approach to program evolution, based on representation-building and probabilistic modeling. MOSES has been successfully applied to solve hard problems in domains such as computational biology, sentiment evaluation, and agent control. ... [More]
A program based off of the idea found in this blog post --> http://rogeralsing.com/2008/12/07/genetic-programming-evolution-of-mona-lisa/ Given an input image, generate a copy by evolving the transparent polygons which compose the image.