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GAPI (pronunced gappy) is the Genetic Algorithms Programming Interface - a set of Java classes that allow users to easily integrate Genetic Algorithms into their Java programs. See "GAPI specs" in the Feature Requests forum for more info.
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The Athlete is a virtual robot living in the ODE (Open Dynamics Engine)world. An evolution algorithm is implemented based on the DR-EA-M to optimize its performances. This involves a Geneticalgorithm, network of neurons and morphology. All is in java.
jrgp is a strong-typed Genetic Programming system, which features a graphical interface (gool) to setup and run GP-problems and a tool (fs-d) that greatly simplifies the definition of a GP-problem.
Jeep is a modular, abstract and distributed evolutionnary programming core written in Java, allowing to grow autonomous agents as well a gene pool (as in genetic algorithms).
Automated MapMaker for the Diplomacy boardgame. Using Genetic Algorithms and some user-defined criteria, DipMap will try to generate a playable Diplomacy map.
OpenAI is dedicated to creating a full suite of highly interoperable Artificial Intelligence components that make the best use of today's technologies. Current tools include Mobile Agents, Neural Networks, Genetic Algorithms and Finite State Machines.
GD is AI - ALife becoming true. It's a genetic engine server, capable to run any kind of geneticalgorithm. It has TCP architetcure, working with software clients and uman interaction. It has plugin capabilities and comes with a working Function Finder
Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (geneticalgorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
Domigene is a geneticalgorithm API attempting to incorporate dominant and recessive genes. Supports modular evolution types, genetic programs, definable instruction sets, variation in population, chromosomes, mortality, mutation, fitness functions.
ga2 is a simple C++ library providing the necessary base classes to implement a geneticalgorithm in C++. It is based loosely on Goldberg's canonical GA, but with many modifications, improvements and additional features. Essentially feature-complete, and
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.
The goal of the Rats and Mazes project is to build a simple geneticalgorithm to find general solutions to random non-cyclic single path mazes. I believe that the solutions will tend towards either the right/left-hand rule.
aVolve is an evolutionary/geneticalgorithm designed to evolve single-cell organisms in a micro ecosystem. It currently uses the JGAP Geneticalgorithm, but does include a primitive geneticalgorithm written in Python.
This is a very simple implementation of the geneticalgorithm framework presented by John Holland, based on Goldberg book Genetic Algorithms in Search, Optimization and Machine Learning.
This simplesudodu program is intend for studying in the sudoku solution algorithm rather than a game (If you want to make it a game, it's OK ^_^). Later I will implement the 4*4 or other kinds. Different sudoku requires different algorithm to solve.
This project aims at using the Artificial Intelligence (AI) algorithm called the Geneticalgorithm to solve the problem of placement in the FPGA circuits.
GAZES - GeneticAlgorithm Zombie Eradication Simulation Grid-based simulator for zombie scenario. The units will use geneticalgorithm to determine their actions on a cycle by cycle basis. This is a school project, so is likely on hiatus for summer.