Search Results for "genetic algorithm java" - Page 27
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Showing 902 open source projects for "genetic algorithm java"
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Simple Java Graph is a minimal matrix- and listbased graph implementation. An AStar search algorithm is also available.
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Proposed is an algorithm that uses computer vision, combined with a modified Rubine classifier, to allow arbitrary N-sided polygons as accepted sketches in real-time.
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Random Forest classification implementation in Java based on Breiman's algorithm (2001). It assumes the data is in the form [ X_1, X_2, . . ., X_M, Y ] where Y \in {0, 1, . . ., C}. The user must define M, C, and m initially.
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This is a network based text search tool. The Network part consists of Client and Server side .class files. The text search algorithm has been implemented in C. On client side type SearchClient ip(server) string
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The simpliZia-program implements the simplex-algorithm and is designed to help students of Operations Research to understand and learn the algorithm. This is a german project, source and program are actually written in german.
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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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SierpinskiChaosGame is a graphical Java application for demonstrating the creation of a Sierpinski triangle using a probabilistic algorithm
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JSerpent is an easy to use Java implementation of the powerful Serpent cryptography algorithm. It can be easily implemented into any project, and is complete with ECB, padding, and a simple API.
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spGAL is a C++ Genetic Algorithm (GA) library. This is a portable scalable, and easy to use library written with ANSI C++.
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JFish is a simple Java implementation of the popular Twofish cryptography algorithm. It allows any application to easily implement powerful encryption, using a single small library and minimal code changes.
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JRijndael is a 100% pure Java implementation of the popular Rijndael (aka AES) cryptography algorithm. It's designed to be implemented as easily as possible and features ECB, padding, and a simple API.
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Popular Game 15 implemented in Java. The most intersting part of the project is the genetic algorithm which solving the puzzle. Play the game here: http://www.geocities.com/todordimitrovbalabanov/the15/
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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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This project is a compression utility that supports different kinds of compression algorithm. For starters the following formats are supported (zip, jar, tar, gzip, bzip2). More compression format will be supported in the future.
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RL HNFP is a neuro Fuzzy model which can automatic generate set of rule. So it can implement in domain although human don't have knowledge on it. This project implement that algorithm in Java so other people can use that for their application
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This project aims to improve the Civilization 4 AI using a genetic algorithm. We also have some alternative AI algorithms which have been custom written that will hopefully also improve the AI.
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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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The project implements Dana Angluin's learning algorithm with intent to look into the possibility of computational learning of changing (shifting) information.
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Type setting engine in Java. Uses an algorithm similar to Tex to layout text and images on a page and create a pdf output, supports multiple columns and images, which can be placed at arbitrary positions, spawm columns etc.
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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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The JefNET (Java Evolutionary Framework Network) Proj. consists of three subprojects: JEF, Dna, JXTAJef. Our intent is to provide a distributed genetic programming framework for the Java language, and a network in which classes can spontaneously evolve.
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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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