Search Results for "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...

...Jenetics allows you to minimize or maximize the given fitness function without tweaking it. In contrast to other GA implementations, the library uses the concept of an evolution stream (EvolutionStream) for executing the evolution steps. Since the EvolutionStream implements the Java Stream interface, it works smoothly with the rest of the Java Stream API. Other repositories: - https://github.com/jenetics/jenetics Maven: - https://mvnrepository.com/artifact/io.jenetics

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 network flow and other graph algorithms. A fast parallel implementation of the network simplex method, and some full-fledged parallel/distributed MIP solvers will be added in the next version. ...

...Fractal dimensions are computed with the popular Box counting method or the Pyramid method. Details can be found in: Andronache etal. Fractal analysis for studying the evolution of forests, Chaos, Solitons & Fractals, 2016, Vol 91, 310-318. Installation instruction: Copy newest jar file to the "Plugins" directory which should be located in the directory of your local IQM main application. IQM: https://sourceforge.net/projects/iqm/ Authors of this plugin: Ion Andronache, University of Bukarest, Romania Daniel Peptenatu, University of Bukarest, Romania Helmut Ahammer, Medical University of Graz, Austria

PANTHER project: software for modeling of protein sequence and function evolution, and tools for applying these data to the analysis of genome data, expression data and coding SNPs. Details available at http://www.pantherdb.org.

Opt4J is an open source Java-based framework for evolutionary computation. It contains a set of (multi-objective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle swarm optimization, and simulated annealing. The benchmarks that are included comprise ZDT, DTLZ, WFG, and the knapsack problem. The goal of Opt4J is to simplify the evolutionary optimization of user-defined problems as well as the implementation of arbitrary meta-heuristic optimization algorithms. For this purpose, Opt4J relies on a module-based implementation and offers a graphical user interface for the configuration as well as a visualization of the optimization process.

GeneticAlgorithms is a simple and lightweight framework to implement an optimization heuristic following the Genetic Algorithms model. A genetic algorithm mimics the natural processes of evolution, selection and "survival of the fittest". This framework is intuitive and good integrated with Java 1.5 SDK and later.

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 Framework provides the tools necessary to rapidly design, develop, execute and statistically test optimization algorithms.

Krowface (Krowdix 3.0) is a simulation and implementation tool of social networks. To visualize and analyze the evolution of different social networks in real time. And the creation of a social network, configuring the parameters that define it. All this through a simple web interface and user friendly.

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. ...

Toolkit to examine the topology of a phylogenetic tree, place amino acid substitutions on specific branches, polarize them and compare amino acid sequences of homologous proteins to answer a wide range of questions about protein evolution.

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!

Java framework to easily implement optimization problems based on evolutionary algorithms or evolution strategies and execute them in Hadoop clusters.

Graphical User Interface for a software used to assess adaptive evolution in protein-coding genes. Makes use of several known bioinformatics software. IMPACT is free software, targeted to the scientific community. Maldonado E, Dutheil JY, da Fonseca RR, Vasconcelos V, Antunes A (2011) IMPACT: Integrated Multiprogram Platform for Analyses in ConTest. Journal of Heredity, 102 (3): 366-369. doi: https://doi.org/10.1093/jhered/esr003

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.

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.

The Evolutionary Environment (EvENet) provides a P2P Network for guiding the evolution of Software Services and Service Compositions over time. This evolution is based on knowledge sharing and optimised using GA and Agent Systems. It is part of the DBE.

The Brunswick Science Fair Project is an attempt to evolve code snippets into complex organisms. Programmed in Java

The DERI Ontology Management Environment (DOME) is developed by the Ontology Management Working Group (OMWG). The aim is to provide tooling support for Editing & Browsing, Versioning & Evolution as well as Mapping & Merging.

LineageEvolver is a simulation system for molecular evolution. Sequence evolution is simulated using modular processes such as substitutions, gene duplication/death, horizontal gene transfer, and more.

This is a evolution of the original project written in the 2002 by Tom Fotherby. The Java Visual Traffic Simulation project aims to provide an implementation to urban vehicle movement using a microscopic simulation approach.

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