Search Results for "parallel genetic algorithm" - Page 8
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Showing 244 open source projects for "parallel genetic algorithm"
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IU parallel fastDNAml is a program that infers evolutionary histories from genetic sequences, modified and extended from the serial version of fastDNAml to run in parallel on heterogeneous and widely distributed systems.
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This is an academic project; the main objective is to generate an algorithm to parallelize a CNF formula and then feed the distributed parts to sequential SAT solvers, for this project we have choose to use Sat4J as the solver.
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A 2D rigid physics simulator and set of genetic algorithm tools. Evolve cute little walking creatures.
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Primarily applied in experimental psychology, where it is used to create experiment schedules. It even can be applied to other planning-activities that have to met boundary constraints. Rando uses a genetic-algorithm to construct a fulfilled schedule.
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A hierarchical representation language for music, which can be used as a human algorithmic composition tool or as a semi-automated composition tool using a genetic algorithm with human listeners as the fitness function.
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Trilobots is an arcade-style shooter that evolves the abilities and programming of the enemies using a genetic algorithm. The end goal is to make the evolution transparent, allowing users to learn how genetic algorithms work while having fun.
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The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
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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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The All-In-One Google Workspace Management Tool for IT AdminsgPanel by Promevo streamlines administration, security, and user management, giving organizations full control over their Google Workspace.
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Searches for adecuate design for feedforward backpropagation neural network, employing genetic algorithm as refining engine. The result topolgy may not be orthodox.
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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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czip is a unix based utility written for the cell broadband engine. It allows its users to compress files in gzip format. It uses Jean-loup Gailly's deflate algorithm and is based in part on pigz, Mark Adlers parallel version of zlib.
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This project is about an algorithm for multi-resolution texture systhesis on Cell.BE.There are there source code files.One is serial on x86.One is serial code on cell ppu,and the last is parallel code,which use ppu and 8 spus.
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PyLife is an implementation of the game of life algorithm featuring parallel programming. It uses MPI and python to achieve a consistent software architecture and reliably performance.
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Wodka is the implementation of a genetic algorithm (GA) that can bread two dimensional structures that might be used as robots in sodarace competitions.
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A flexible programming library for evolutionary computation. Steady-state, generational and island model genetic algorithms are supported, using Darwinian, Lamarckian or Baldwinian evolution. Includes support for multiprocessor and distributed systems.
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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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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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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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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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Galapagos is a Genetic Algorithm framework written in Java 5 with the intended audience of undergraduates in an Artificial Intelligence class. The goal of Galapagos is usability: a competent student should be able to learn this library in an afternoon.
