Search Results for "genetic algorithm c" - Page 12
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Showing 371 open source projects for "genetic algorithm c"
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MeMo (stands for Meta-Model) is planned as Generic Programming Language & IDE, as flexible & smart as it is possible for computer application, including adjustable syntax, algorithm reduction. Ideally, it has to contain AI for interacting with the user.
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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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It is the source code for a tree mining algorithm called TRIPS. It can mine frequent subtrees from a forest of tree structures.
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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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This project aims to create an open source genetic algorithms (GA) library for the IBM Cell BE processor. A well-documented implementation of GAs is provided, along with a number of sample fitness functions illustrating how to use the GA library.
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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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webdevlib is a open source project for develop web applications, it include general api for web develop, such as string, array, hash, cgi get and post, and template file operate.
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Classic game solved with MinMax algorithm (full solution tree) and simple Heuristics. Specially for learning and teaching computer AI
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callgraph is a project that provides an algorithm for an optimal vertex positioning of any connected graph in 3D, as well as the library and sample application for viewing graphs in 3D.
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A GLib/GTK+ classical encryption analysis and reversal tool that brings together multiple techniques into a single program to aide in decryption.
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CuberGA project is the flexible Genetic Algorithms framework. Realize your ideas easy with deliveries of this project. Keywords: genetic algorithms, framework, permutation, mutation, crossover, genotype, selection, survival, Левченко Илья.
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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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A simple (~20 line python) O(n^6) algorithm for the traveling salesman problem that seems to do pretty well for most graphs; so well that I have not been able to find a graph which it does optimally solve. Those with spare cycles are welcome to help out.
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Swatian Tigers Desktop Search
Desktop Search Application
A light weight Desktop Search Application built in .net C# and Vb.net implemented using file search recursive algorithm and threads. provides explorer like view of files. It can be implemented in mono(platform independent).currently only runs on Microsoft Platform. -
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Can emulate old computer on text the code pogram ideal to create kernel for operating system The begin the project the can emulate CPU(8080)and z80.
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This is a compiler which produces ANNs out of a simple, procedural programming language. Those programs can then be subject to genetic algorithms and neuro-evolution to enhance them automatically.
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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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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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Library of terrain level of detail algorithm nodes for Coin (an implementation of an Open Inventor scene graph) and other utility classes. Currently are implemented ROAM, Geo Mip-Mapping and Chunked-LoD algorithms. Any issues and feedback for this projec
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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.
