Search Results for "evolution x sagit"

The first 3d search engine for text. Javascript only. Work in all browsers. Ajax downloads new words (and links between them) as you move mouse to control AI to learn what you're looking for (in context) and put it on screen. Includes Wikipedia data

IMPORTANT UPDATE! This project has migrated to https://github.com/polyworld/polyworld . This SourceForge repository is now obsolete. Polyworld is one of the earliest and most sophisticated artificial worlds developed to study Artificial Life and Artificial Intelligence, using computational genetics, physiology, metabolism, neural networks, learning, vision, and behavior.

We experiment with Evolution of Artifical Neural Networks, combining the two fields of Evolutionary Computation and ANNs. Our methods are applied to a variety of interesting problems. To learn more, click on "Home Page", "Mail", or "Files".

A distributed evolution simulation. Features a separate client and server. The client uses OpenGL and OpenAL for visualation and auralization.

Kandid generates images using genetic algorithms. In a simulated evolution surprising images can be found calculated with Lisp expressions, Textures, Iterated Function Systems, Linear Cellular Automata, Voroni diagrams, Lindenmayer Systems and POVray

Set of Java packages to apply Genetic Algorithms to any kind of problem. Various genetic operators are implemented and an example shows of how the system could be applied to digital circuit evolution.

Solving the travelling salesman problem with genetic (evolutionary) algorithms. The distance calculations are based on geographical coordinates. The progress of the algorithm is visualized with a geo-map and some statistics.

An Evolution Simulator of Single Cells in a Pond. This shows a crosssection of water with sun shining from above. A single cell is dropped in and has various genes. The cells multipy and evolve. See Files above for download and screenshot.

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 Genetic algorithm, network of neurons and morphology. All is in java.

The genesis-ai project is an attempt to develop complex neural network behavior by means of evolutionary techniques.

An OpenGL simulation of artificial life and artificial evolution using neural networks and genetic algorithms based on Larry Yaeger's PolyWorld.