Search Results for "parallel genetic algorithm" - Page 11
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Showing 314 open source projects for "parallel genetic algorithm"
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DrPangloss is a python implementation of a three operator genetic algorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
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NullAllEst is the implementation of a maximum likelihood algorithm to estimate the frequency of a null allele in microsatellite genetic data. A Markov Chain Monte Carlo simulation is used to solve the likelihood function.
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gaDesignLib
Genetic algorithm for mechatronic product design
This C++/STL library provides you with the basic genetic algorithms needed for engineering design, such as simple GA and variable population. -
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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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NeuroDraughts is a Draughts/Checkers game that teaches itself how to play through self play. It combines an Artificial Neural Network, trained by Temporal Difference Learning using some Genetic Algorithm style behaviour.
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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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Neural networks evolution (genetic algorithm) written in Java. Now neural networks try to playing Go, Tic-Tac-Toe.
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Genetic Algorithm based software to resolve the Traveling Salesman Problem (Problema del Commesso Viaggiatore).
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Molevolve is a Java library for running a Genetic Algorithm to model the 3-dimensional structures of peptide chains from amino-acid sequences. Client code can specify its own peptide chain model, fitness functions and GA operations. Requires JDK 1.5.
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The project´s name is Generic Genetic Algorithm, Its an application that permits the use of a genetic algorithm skeleton to solve a problem. The language is python. The os Debian. The objective is to unify genetic algorithm practices in a generic aplicat
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unEvo is an Eclipse plug-in that provides support for the experimentation and research process on Evolutionary Algorithms, intended so that the user can implement an evolutionary algorithm without lost time in the code of the algorithm.
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Black Box GA provides a user, with a black box program to use a genetic algorithm to help optimize problems, without the user coding a genetic algorithm, or even understanding how a Genetic Algorithm works!
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GALib, Java Genetic Algorithm (JAR) library, models chromosomes as real numbers, characters, strings, and string sequences. Very easy to use, just extend one of the existing GA classes and implement your fitness function. Sample GAs included.
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C++ genetic algorithms library (solving of the NP opnimisation problems). More GA strategies, more useability, more algorithm speed.
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EasyAI is a project to build classical AI program and method in Java language, such as resolution for logic, greedy search, genetic algorithm, neural network and so on...
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IslandEv distributes a Genetic Algorithm (like <a href="/projects/jaga">JaGa</a>) across a network (see <a href="/projects/distrit">DistrIT</a>) using an island based coevolutionary model in which neighbouring islands swap migrating individuals every
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MPIGALib is a parallel genetic algorithms library built on Mathew Walls GALib and MPI that allows genetic algorithm enthusiasts and researchers to parallelize there serial genetic algorithm implementations.
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Gazoo is a Java framework for genetic algorithms development. Gazoo provides the core of a genetic algorithm, leaving to the user the implementation of specific-problem classes.
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STAR, stand-alone advanced c++ algorithm library, addressing mathematical/statistical problems, genetic algorithms, and a framework of system functions (including, but not limited to, XML parsing and writing, sorting, hashing, etc.)
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Disk Optimizer selects files to be placed on any disk medium that will maximize the space used. It is very efficient in finding an optimum file set since it uses a Genetic Algorithm instead of brute force.
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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.
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BluesJam is an Interactive Human Fitnessing model that employs an n-mentoring architecture for fitnessing and evolving music using genetic algorithm methods. The particular style targeted is Blues music with the possiblility of targeting other genres.
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A bunch of potentially useful generic Java libraries and applications that I've written and would like to share with others. Contains: * a ray tracer * a linear algebra library * distributed programming utility code * genetic algorithm ut
