forester is a collection of open source libraries of Java and Ruby software for phylogenomics and evolutionary biology research
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Updated
Nov 7, 2025 - Java
forester is a collection of open source libraries of Java and Ruby software for phylogenomics and evolutionary biology research
Bayesian Evolutionary Analysis Sampling Trees
Bayesian Evolutionary Analysis by Sampling Trees
Darwin is a small Java library that helps applications to setup and evolve their database schema over the time. Evolution is based on SQL patch application and aims at traceability, predictability and reliability. It has been for 13 years in production systems.
A simple engine for running genetic algorithms
Mirrors is a simulation of an arbitrary physical system, where the goal is achieved using artificial evolution.
In diesem Projekt wollen wir durch Analyze von Simulationsdaten untersuchen, wie verschiedene Parameter bzw. Einstellungen eine Evolutions-Simulation durch mutierende neuronale Netze beeinflussen.
A java based cellular evolution simulation
Cellolution - a simulated evolution of artificial cells in a water world: visible within the "ocean".
Artificial Life Simulation of Bacteria Motion depending on DNA
A research project from Edinburgh Napier University regarding Heat Treatment Optimisation - utilising an evolutionary algorithm to locate the local and global maxima & minima within the parametric space.
Computer Science Infotainment. Tribute to the Article Series in Scientific American and their german release Spektrum der Wissenschaft
Simulating complete lives of different cellular animals and plants. Evolution, inheritance, predation and more.
Software Maintenance and Evolution Demo Project
My implementation of an evolutionary algorithm, which searches and finds a target image from mixed pixels
Source code for TreeBASE web application and database
This program makes it possible to experience in a simple way (by means of numerical simulations) the relative importance of basic evolutionary mechanisms (mutation, selection and recombination) in the emergence of complexity.
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