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A unified collection of algorithms for Artificial Life. It includes evolutionary algorithms, neural networks, data mining tools, compilers, among others.
Project aims at developing KNIME nodes, which provide tools for solving optimization problems, like TSP and function optimization. Two metaheuristic are available: Tabu Search and Simulated Annealing. Now we are working on: EvolutionaryAlgorithm.
This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress
CEGA is a highly extendable layout plugin for Cytoscape based on an EvolutionaryAlgorithm. In contrast to other layout algorithms, CEGA lets users decide which features are important for the visualization of their graphs.
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LabLOVE (Life On a Virtual Environment) is an evolutionary multi-agent simulation environment. It is fast, modular and extensible. Contains the reference implementation for the gridbrain algorithm.
OGA, Open Genetic Algorithm implements the evolutionary genetic algorithms with an user interface in GTK+. The main goal of the program is solve complex problems using evolutionary algorithms like genetic algorithms or evolutionary strategies.
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musicomp is a program which most important element is an evolutionaryalgorithm which uses data mining methods as a fitness function to generate monophone melodies.
Web-Based Academic course system for assigning students to courses written in JAVA with pgsql DB and evolutionaryalgorithm for assigning students to course requests. Multiple roles for users: Admin, Student, Teacher or Tutor. International localization.
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.
Evolutionary Algorithms Modelling Language. The main objective of this project is to design and preper a standard specification of the implementation-independent representation of the Evolutionary Algorithms. The representation is based on XML. Models in
aVolve is an evolutionary/genetic algorithm designed to evolve single-cell organisms in a micro ecosystem. It currently uses the JGAP Genetic algorithm, but does include a primitive genetic algorithm written in Python.
Here lies the introductory project at game development, utilizing the Unity engine, to create a Captain Forever clone, with our unique touches of course, and probably implementing a dynamic difficulty system with GA evolutionaryalgorithm(s).