Search Results for "genetic algorithms" - Page 2
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Showing 76 open source projects for "genetic algorithms"
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Sleepwalker aims to provide a highly abstract, universal, reusable, extensible Java-based genetic algorithms framework which can be used as a basis for modelling and programming virtually any practical optimisation problem.
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EZvolve Foundation Classes
Data types and utility classes for use with evolutionary algorithms.
EZvolve Foundation Classes is a set of data types and utility classes for use with evolutionary algorithms. Currently implemented support for bit string encoding, populations, fitnesses, fitness functions, probabilities, and probability vectors. -
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breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.
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Cambrian is a set of optimizing libraries design to optimize multi and mono objective functions. Cambrian is extension of Genetikos application developed to use genetic algorithms.
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Toroid experiment is a try to create a model of life where animals evolving driving by genetic algorithms and each animal has it's own brain which is a neural network. For detailed description look at project page http://toroid-world.sourceforge.net
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Este projeto objetiva a criação de um Toolbox para utilização de algoritmos de Computação Bioinspirada. O Toobox oferece uma vasta coleção de algoritmos de ferramentas para o projeto de Algoritmos Genéticos e Redes Neurais.
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CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics.
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This chess program changes its strength to give the best match against you. Eventually it learns to beat you specifically through learning alogirthms. Features included transposition tables and a elementary 3-piece endgame tablebase.
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GAAF is a tool for analyzing Genetic Algorithms (GA for short). It allows to check the behavior of a particular GA resolving a particular problem so one can get empirical information to decide which GA best fits problem's conditions.
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Java API for implementing any kind of Genetic Algorithm and Genetic Programming applications quickly and easily. Contains a wide range of ready-to-use GA and GP algorithms and operators to be plugged-in or extended. Includes Tutorials and Examples.
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Cutting Problem solved by Genetic algorithms. The goal is to cut a rectangular plate of material into more smaller rectangles. The cuts must be rectangular and guillotinable.
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Genetic Programming (tree structure) predictor within Weka data mining software for both continuous and classification problems.
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Origin is a evolver for the programming game Corewars. Part of this project is a modified MARS (Memory Array Redcode Simulator) written in C especialy for evolvers. With SWIG its going to be very easy to use in different languages.
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The Gene Expression Programming Framework in Java. It separates the process of evolution from the process of interpretation of the chromosome, allowing the use of various schemes in the chromosome.
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JGenAlg is a java toolbox for working with metaheuristic procedures (Genetic Algorithms, Island model, Particle Swarm, Ant Swarm). JGenAlg have a GUI, a Client/Server architecture, work with threads and can be use under distributed enviroments.
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JNSGA2 is a Java library with an implementation of the multi-objective genetic algorithm NSGA-II published by Deb et al.
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A simulation environment for 2D robots to interact and perform tasks in. Meant to be educational and demonstrate emergent behaviors. No download necessary! See demos on project website!
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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.
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A Java implementation of the NEAT algorithm as created by Kenneth O Stanley. Also provides a toolkit for further experiments to be created and can provide both local and distributed learning environments.
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musicomp is a program which most important element is an evolutionary algorithm which uses data mining methods as a fitness function to generate monophone melodies.
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This project's goal is to implement Artificial Inteligence algorithms and make them available for any platform but especially for mobile devices. The main objective is to allow the community to develop better and more inteligent mobile games.
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JMiner is a (not yet!) complete data mining and artificial intelligence solution written in Java. Support for neural networks, genetic algorithms/programming, decision trees, clustering, market basket analysis, link analysis, data cleansing, and others.
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Project includes: JRIO (drawing package), Lang (Java interpreter written in Java), and Cirrus (genetic and evolutionary algorithms, with evolvable virtual machine). Planned modules for entropy and information studies during an evolutionary process.
