Search Results for "genetic algorithm java" - Page 9
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Showing 283 open source projects for "genetic algorithm java"
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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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A concise example of the classical genetic algorithm, with a fancy windows terminal display. Features DNA editing, save/load, customizable constraints and statistics logging.
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The algorithm used by this MasterMind applet is very simple. Yet it is also very fast and it uses relatively few guesses.
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Java Interface for Neural and Genetic Pattern Classification JINGPaC is a framework to solve the problem of Pattern Classification thanks to Genetic Programming, Neural Network, Genetic Algorithms and many other techniques. JINGPaC2 is the latest version
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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 collection of language tools based on recursive adaptive grammars (RAGs), built around a general RAG parsing algorithm.
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IntiMap is a convenience tool to run the MS-DOS command-line tool MapPop for selective genotyping. It adds facilities to prepare genotyping data files, manage genotype sets and visualize mapping results (genetic marker maps).
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Project Tokaf is an general implementation of top-k algorithm. It provides interfaces for all modules that are needed. It also features user preferences module, for computing new preferences and manipulating existing ones.
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KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
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The main goal of OWLVE is to visualize graphically any OWL–lite file. Using powerful RCP and GEF technologies will improve the quality of graphics and diagrams.This project includes an algorithm for similarity calculus between two OWL files.
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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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OAP Lite is Optimized Algorithms Platform Lite, which simplifies the process of solving some optimization problems by Genetic Algorithms. It is a highly configurable, efficient tool for user to get the optimum result without programming.
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M+ Compiler/Interpreter is a interpreter library written in Java that delivers the possibility to extend any Java application with simple scripts. Besides the usage of native datatypes and operations you can instantiate and call native Java objects.
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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.
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This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
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EvoTrader is a stock picking platform that utilizes genetic programming to evolve rules for generating stock trading signals.
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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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Aggressive Rectangle Truncation (ART) with Location Verfication Mechanism is a localization algorithm in wireless sensor networks written in nesC.
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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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StrMatch is a simple java program, created for educational purposes, that allows user to test a great part of string matching algorithms. An intuitive user interface shows each algorithm step accurately...
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The Drools.NET is a .NET port for Drools, which is a java Rules Engine based on Charles Forgy's Rete algorithm. Drools.NET enables .NET developers/Users to exploit the powerful Rule Engine like Drools through a completely managed .NET code base.
