Search Results for "parallel genetic algorithm" - Page 6
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Showing 237 open source projects for "parallel genetic algorithm"
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gpufsknn
A GPU-based efficient data parallel formulation of the kNN problem
A GPU-based efficient data parallel formulation of the k-Nearest Neighbor (kNN) search problem which is a popular method for classifying objects in several fields of research, such as- pattern recognition, machine learning, bioinformatics etc. -
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Genetic Algorithm General Solver-GAGENES
Genetic algorithms (GA) in C++
NOTE: Project has been delayed due to other tasks. Genetic Algorithms General Solver (GAGENES) is a C++ implementation of the genetic algorithm concept. -
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Project aim to provide simple easy APIs for Java developers to use interactive abilities in their Java Applications like speech recognition, handwriting recognition, use of web cam , sound record/play, decision trees , text to speech and many others.
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Based on the introduction of Genetic Algorithms in the excellent book "Collective Intelligence" I have put together some python classes to extend the original concepts.
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CloudBurst is a parallel read-mapping algorithm optimized for mapping next-generation sequence data to the human genome and other reference genomes, for use in a variety of biological analyses including SNP discovery, genotyping, and personal genomics.
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Parallel SURF is a multi-threaded implementation of the Speeded Up Robust Features algorithm.
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Developed as a final year project at Islamic University of Technology (IUT) during 2010 - 2011 academic year. This code is a simple implementation of real coded genetic algorithm for numerical optimization. Code is written in C/C++.
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Alkindus is an automated solver for short monoalphabetic substitution ciphers without word divisions.
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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
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A genetic algorithm in Python for evolving programs that write a given string to an allocated dataspace, using a made-up machine language with only 7 instructions and flow reversal.
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Audio Analysis/Resynthesis the way Darwin would have done it if he were only into computer music. Using a genetic algorithm to evolve a sinusoidal/noise based sound model, create variations as the audio chromosome of a sound's family tree progresses.
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Parallel Reinforcement Evolutionary Artificial Neural Networks (PREANN) is a framework of flexible multi-layer ANN's with reinforcement learning based on genetic algorithms and a parallel implementation (using XMM registers and NVIDIA's CUDA).
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X-GAT (XML-based Genetic Algorithm Toolkit) is a Java framework to optimize problems with Genetic Algorithms (GAs). Differently from other frameworks, X-GAT contains ready-to-use GAs implementations and new features can be easily added.
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Open Song Composer is a free/open source music generator written in Java that learns through use of a genetic algorithm. It can generate music in all major modes.
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Mainly include the codes of genetic algorithm, interative genetic algorithm, that are written in Java Applcations also included such as function optimization, simple fashion design optimization, face optimization and so on
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This library is a lightweight implementation of genetic algorithm, contains the most popular types of chromosomes and the basic algorithms for selection, elitism, crossing and mutation.
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It is an implementation of my algorithm to find prime no.s. It uses Grid Computing to find a list of primes with the maximum speed possible.
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PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
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Game Toolbox is a C# assembly designed to facilitate the creation of games and game prototypes. It contains no graphics code, does not depend on XNA, and is Mono-compatible. It provides implementations of A*, GOAP, a genetic algorithm, and more.
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This easy to run and change program for developers, it contains several evolutionary based strategies allowing you try among some function samples
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Geneur is an Open Source scheduler for GRID. It is based on variation of genetic algorithms. Geneur uses backfill scheduling algorithm to create first genetic population.
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Moved to github! https://github.com/aaronbot3000/image-evolver The goal of the Image Evolver is to recreate a source picture using overlapping transparent shapes positioned a genetic algorithm.
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This is implementation of parallel genetic algorithm with "ring" insular topology. Algorithm provides a dynamic choice of genetic operators in the evolution of. The library supports the 26 genetic operators. This is cross-platform GA written in С++.
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AEvolution is an artificial life simulator, simulating (multi)cellular behavior using a genetics algorithm. Multiple planes can be connected via either local or ftp-based teleporters...
