Search Results for "artificial evolution"

SharpNEAT is an optimised, neuro-evolution framework written in C#. Included is a front-end GUI, a number of example problem domains and some additional applications for viewing and simulating evolved networks.

HH-Evolver is a framework for domain-specific, hyper-heuristic evolution. HH-Evolver automates the design of domain-specific heuristics for planning domains. Hyper-heuristics generated by our tool can then be used with combinatorial search algorithms such as A* and IDA* for solving problems of the given domain.

Library for creation of artificial neural networks in C#. Library supports Hopfield nets, Kohonen nets, feedforward networks, several learning techniques (differential evolution, back propagation, quick propagation, resilient propagation etc.)

Tryx is a simple board game, and is an evolution of the classic Tic-Tac-Toe game. The difference is that each player can have at most 3 symbols on the board: when a player puts its fourth symbol on the board, the oldest symbol disappears.

GEP is an evolutionary algorithm for function finding. This framework is a powerful way of expressing and coding genetic-like structures and quickly finding solutions through evolution by common genetic operators.

XNA Shader 3D Game Engine, it includes physics, Artificial Intelegence, Particle System. Bone Animation Blending, C# Scripting, Billboards, Compressed Content Directory or Virtual File System for Content.