Search Results for "artificial evolution"

You can download the Color Mod at the Biogenesis main site too (included in the main download now). You also find the sourcecode there. If you want to post a review, remember that this is only a modification, so comment on my changes, not on the simulation. Original project by Joan Queralt Molina: https://sourceforge.net/projects/biogenesis/ Includes Tyler Colemans "Features Mod": https://sourceforge.net/projects/biogenesisfeatu/ Biogenesis discussion...

Spectral duality filter that extracts green-speck entanglement residuals and blue-halo IR fusion to detect stealth objects by revealing dark-mode leakage in ordinary radar returns. Features Live version Live try: https://stealthpdpradar.streamlit.app/ Beta Live https://qcaustfordmodel.streamlit.app/ PDP Quantum Filter: Implements photon-dark-photon kinetic mixing and von Neumann evolution Dark-Mode Leakage Detection: Reveals quantum entanglement signatures of...

The source code has been migrated and is now hosted on Github: https://github.com/jenetics/jenetics Jenetics is an advanced Genetic Algorithm, Evolutionary Algorithm and Genetic Programming library, respectively, written in modern day Java. It is designed with a clear separation of the several algorithm concepts, e. g. Gene, Chromosome, Genotype, Phenotype, Population and fitness Function. Jenetics allows you to minimize or maximize the given fitness function without tweaking it. In...

popt4jlib is an open-source parallel optimization library for the Java programming language supporting both shared memory and distributed message passing models. Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known...

The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose multiobjective optimization algorithms. The MOEA Framework supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3 and MOEA/D. In addition, the MOEA...

This project is a modification of the original evolution simulation & artificial life project by Joan Queralt Molina: https://sourceforge.net/projects/biogenesis/ In both, the original project and this modification, 2-dimensional organisms consisting of line segments interact with each other, reproduce and evolve in time. Compared to the original project, this modification explores the following features: * alternative mutation mechanisms * an alternative stress-based aging mechanism It is based on the new_design branch of Biogenesis (https://sourceforge.net/p/biogenesis/git/ci/new_design/tree/), its source code can be obatained from http://sourceforge.net/p/biogenesisxmod/code/ci/xmod/tree/ If you want to post a review, remember that this is only a modification, so comment on my changes, not on the simulation. ...

In Avida, evolution acts on populations of self-replicating computer programs. These "digital organisms" experience natural selection through random mutations and resource competition. See the project website for more information and bug tracking.

A base for programs. Includes algorythms for Q-learning and SOM's etc. too. Examples: Hamron: Simulates evolution, uses the 2D-renderer. DriveUnit: created for school, for a robotic arm, uses the 3D-renderer. Hlearn: http://www.sagenb.org/home/pub/8

This project has been moved to https://bitbucket.org/pbazant/evoversum/src/master/ . Evoversum is a fast Darwinian evolution simulator. The program simulates a 2D world populated with "animals" which struggle for food, reproduce and may also eat each other. The subject of evolution is their behavior, which may become quite complex. There is an updated video tutorial at http://www.youtube.com/watch?v=nPkZvyVDWJU !

This is a GUI, Java implementation of the Ant Colony Optimisation/Particle Swarm Optimisation (PSO/ACO2) rule induction algorithm. This project was inspired by Ant-Miner, but handles continuous attributes using PSO or now Differential Evolution.

The FAKE GAME tool uses natural evolution to evolve Data Mining models. It incorporates several preprocessing, optimization and visualization methods aimed to streamline the Knowledge Discovery process. Knowledge Extraction from data is being automated!

Arena is a computer simulation in which programs compete for CPU time and access to main memory. Processes such as the dynamics of punctuated equilibrium, host-parasite co-evolution and density dependent natural selection are amenable to investigation.

The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover

Morphid Academy is a virtual laboratory primarily for the study of evolution of physically simulated forms and their functions.

Ouroborus is an artificial life framework for mobile agents on a background of cellular automata. It can be used to teach and research topics such as population genetics, ecology and evolution. The demo includes a curses view and live Csound audio.

Integrated Structure Evolution Environment

Artificial chemistry low-level simulation : make up our own rules of construction to simulate open-ended, creative evolution. See http://organicbuilder.sourceforge.net/ for more information.

The aim of this project is to develop an agent for Robocup3d. Evolution algorithms will be used to teach the agent all the required things, from basic movement to more complicated things like formations and team play.

A free, open source, artificial life, genetic evolution simulation in which small creatures called Neds roam the world, mate with one another, harvest food, eat and eventually die.

The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.

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".

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.

openevo is a project started to find out about behaviour of evolutionary generated machine code. It implements a certain set of CPU instruction codes and a few interrupts for interaction with the runtime environment.

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.