Showing 157 open source projects for "genetic algorithm java"

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  • 1
    Ocean with fishes who's are learning and evolving.
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  • 2
    Genetic Programming (tree structure) predictor within Weka data mining software for both continuous and classification problems.
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  • 3
    Ky eshte nje projekt i HAPUR/FALAS per publikun Shqip-foles i cili permban nje seri Video-Kursesh, Udhezime, dhe Shembuj Kodi per gjuhe (web) si: XHTML, CSS, JS, PHP, AS3 etj. si dhe per Desktop: C++, Java, Adobe Air etj. + programe/praktika te ndryshme.
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  • 4
    Origin is a evolver for the programming game Corewars. Part of this project is a modified MARS (Memory Array Redcode Simulator) written in C especialy for evolvers. With SWIG its going to be very easy to use in different languages.
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  • 5
    The Gene Expression Programming Framework in Java. It separates the process of evolution from the process of interpretation of the chromosome, allowing the use of various schemes in the chromosome.
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  • 6
    a framework library with a template method interface and inheritable classes for an executable process design which produces an executable which is both a GUI and a console application. It provides multi-threading for work items of the provider process .
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  • 7
    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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  • 8
    Sorting algorithm performance testing using a generic test interface
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  • 9
    Java implementation of A* algorithm, that could be used in Roguelike games.
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  • 10
    An attempt to design minimum cost broadband networks with the use of a modified version of the Particle Swarm Optimization method. A GIS subsystem is used for the visualization of data and results.
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  • 11
    A simulation environment for 2D robots to interact and perform tasks in. Meant to be educational and demonstrate emergent behaviors. No download necessary! See demos on project website!
    Downloads: 0 This Week
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  • 12
    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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    Downloads: 5 This Week
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  • 13
    This software is to help the those connected with Biology,Biotechnology,Bio Informatics.The user can select from the choices of proteins, nucleotides,etc(All those found on NCBI's website)and search for the specific results
    Downloads: 0 This Week
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  • 14
    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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  • 15
    JGAL is a Java Genetic Algorithms Library.
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  • 16
    This Project implements the mergesort algorithm in a MPICH2 (parallel programming -) environment.
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  • 17
    A framework for utilising the Genetic Algorithm in the domain of Game Theory
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  • 18
    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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  • 19
    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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  • 20
    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/.
    Downloads: 0 This Week
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  • 21
    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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  • 22
    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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  • 23
    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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  • 24
    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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  • 25
    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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