Search Results for "parallel genetic algorithm" - Page 12
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Showing 319 open source projects for "parallel genetic algorithm"
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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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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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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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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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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
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GACS (Genetic Algorithm Class Scheduler) aims to provide to academic institutions an efficient and automatic way to generate their time scheduling for the classes that will be imparted in an academic period.
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A Gtkmm Othello-like game that supports one player ( with both random move selection and genetic algorithm based selection), two players, and network play.
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Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...
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This project is the work of four students in Bioinformatics and Modeling at Insa de Lyon, a French engineering school. Through the use of a genetic algorithm we will try to show the stablishment of speciation resulting from coevolution of automats
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UbWator II is an artificial life simulation inspired by A. K. Dewdney, in his "Computer Recreations" article in the December, 1984 issue of Scientific American. Moreover we are going to add some genetic algorithm. We start from an existing Delphi prog
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Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The
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The Athlete is a virtual robot living in the ODE (Open Dynamics Engine)world. An evolution algorithm is implemented based on the DR-EA-M to optimize its performances. This involves a Genetic algorithm, network of neurons and morphology. All is in java.
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TA scheduler based on a genetic algorithm to make the tedious task of scheduling TA's more efficient.
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MAGMA: Multiobjective Analyzer for Genetic Marker Acquisition A genetic algorithm for generating SNP tiling paths from a large SNP database based on the competing objectives of cost (number of SNPs) and coverage (haplotype blocks): Hubley R., Zitzler
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GD is AI - ALife becoming true. It's a genetic engine server, capable to run any kind of genetic algorithm. It has TCP architetcure, working with software clients and uman interaction. It has plugin capabilities and comes with a working Function Finder
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PPAT, or Parallel Path following Algorithm using Triangles, is a reliable parallel tool to trace the level curves of any continuous, not necessarily smooth, function f(z): C → R.
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Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
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ga2 is a simple C++ library providing the necessary base classes to implement a genetic algorithm in C++. It is based loosely on Goldberg's canonical GA, but with many modifications, improvements and additional features. Essentially feature-complete, and
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Domigene is a genetic algorithm API attempting to incorporate dominant and recessive genes. Supports modular evolution types, genetic programs, definable instruction sets, variation in population, chromosomes, mortality, mutation, fitness functions.
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A Genetic Algorithm Training System in Python. Gatspy provides the framework, the user provides the error (fitness) function. Gatspy will evolve a solution that attempts to minimize the error.
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The goal of the Rats and Mazes project is to build a simple genetic algorithm to find general solutions to random non-cyclic single path mazes. I believe that the solutions will tend towards either the right/left-hand rule.
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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.
