Search Results for "genetic programming"

Genetic Programming Classifier is a distributed evolutionary data classification program. It uses the ensemble method implemented under a parallel co-evolutionary Genetic Programming technique.

Genetic Programming in OpenCL is a parallel implementation of genetic programming targeted at heterogeneous devices, such as CPU and GPU. It is written in OpenCL, an open standard for portable parallel programming across many computing platforms.

This project is a genetic algorithm engine able to be reused for other projects with minimal additional programming. The genetic algorithm engine currently plays many blackjack hands for the fitness function and produces a result similar to blackjack basic strategy. To see it in action, download the zip file and run either: GABlackjack_Demo.exe     (quick)   or GABlackjack_Long.exe       (slow, but it achieves better results).

GFP use Genetic Programming and LISP-like language for growing program.

GS-GP is a free/open source C++ library that provides a robust and efficient implementation of geometric semantic genetic operators for Genetic Programming.

AIS is an Development Platform providing a high-speed JIT compiler for LISP and JavaScript, web server, object repositories, MySQL integration and libraries supporting a wide variety of advanced genetic programming and symbolic regression techniques.

RobGP is a genetic programming system written from the ground up in C++. It's primary goals are efficiency, ease of use, and extensibility. It's distinguishing feature is that it has a modified version of Koza's architecture altering operations.

Open BEAGLE is a C++ Evolutionary Computation (EC) framework. It provides an high-level software environment to do any kind of EC, with support for tree-based genetic programming; bit string, integer-valued vector, and real-valued vector genetic algorithms; and evolution strategy. The Open BEAGLE architecture follows strong principles of object oriented programming, where abstractions are represented by loosely coupled objects and where it is common and easy to reuse code. Open BEAGLE is designed to provide an EC environment that is generic, user friendly, portable, efficient, robust, elegant, and free.

This is C++ application code that implements Gene Expression Programming, or GEP - a form of genetic algorithm.

This is a compiler which produces ANNs out of a simple, procedural programming language. Those programs can then be subject to genetic algorithms and neuro-evolution to enhance them automatically.

GenetiK is a generic framework that supports evolutionary algorithms, in particular Genetic Algorithms and Genetic Programming (and also Strongly Typed GP).

Hampton is an application of genetic programming (GP) to the pathfinding problem, first applied by Rick Strom. This project was the focus of a gamasutra.com article, by Strom, on GP and pathfinding.

A light-weight Genetic Programming system written in C++ that is intended primarily for Symbolic Regression

K is a C++ library featuring Genetic Programming, cryptography, 64 bits arithmetic, cross-platform macros and unicode conversion routines. It compiles on NewtonOS, Mac < X, Unix and Windows and it makes little use of C++ templates.

PMDGP is an object oriented framework written in C++ for implementing genetic programming 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 Genetic Programming Library is a cross-platform library of genetic programming functions for generic application. Initially it's purpose is for machine learning in board games but should be applicable to any purpose.

Multi Expression Programming is a genetic programming method that encodes multiple solutions. It aims to solve difficult problems like classification or symbolic regression.