Search Results for "genetic algorithms" - Page 11
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Showing 367 open source projects for "genetic algorithms"
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SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
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Don’t let unpaid invoices limit your business’s growth. EBizCharge plugs directly into the tools your business already uses to speed up payment collection.
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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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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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Our intuitive email marketing software to help you save time and build lasting relationships with your subscribers.
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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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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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GenetiK is a generic framework that supports evolutionary algorithms, in particular Genetic Algorithms and Genetic Programming (and also Strongly Typed GP).
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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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Plan more projects with Worksection. Use Gantt chart and Kanban boards to organize your projects, get your team onboard and assign tasks and due dates.
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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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OpenOpt is FREE (GNU GPL v.2) MATLAB/Octave toolbox, powered by user-contributed solvers & ideas. Scaling, updating counters etc is performed by OpenOpt BaseModule. Local & global solvers, easy interface, possibility of graphical output, etc, etc. Enjoy
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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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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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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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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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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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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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This project aims at providing a set of tools for solving the class of monodimensional packing problems (such as cutting stock, bin packing and knapsack problem) mainly using genetic algoritms.
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This is an attempt to use Genetic Programming for writing a go player in a pseudo-ASM. It is entirely written in Common Lisp.
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Agenda desenvolvida em Java, utilizando banco PostGreSQL. Itens: Cadastro de Contatos Cadastro de Tarefas
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A library for Cartesian Genetic Programming (CGP.) This project includes a simple Evolution Strategy library that can be used for evolution.