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EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems ... [More] , from continuous to combinatorial ones. Designing an algorithm with EO consists in choosing what components you want to use for your specific needs, just as building a structure with Lego blocks. [Less]

5.0
 
  0 reviews  |  6 users  |  60,764 lines of code  |  7 current contributors  |  Analyzed 4 days ago
 
 

PyBrain is a modular Machine Learning Library for Python. It's goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. It's the Swiss army knife for machine learning and neural networking.

5.0
 
  0 reviews  |  4 users  |  35,476 lines of code  |  4 current contributors  |  Analyzed 1 day ago
 
 

FREVO is an open-source framework developed in Java to help engineers and scientists in evolutionary design or optimization tasks. The major feature of FREVO is the componentwise decomposition and separation of the key building blocks for each optimization tasks. We identify these as the problem ... [More] definition, solution representation and the optimization method. This structure enables the components to be designed separately allowing the user to easily swap and evaluate different configurations and methods or to connect an external simulation tool. [Less]

5.0
 
  0 reviews  |  3 users  |  29,903 lines of code  |  7 current contributors  |  Analyzed 6 days ago
 
 

CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics.

4.5
   
  0 reviews  |  2 users  |  55,101 lines of code  |  12 current contributors  |  Analyzed 7 months ago
 
 
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The dANN project is a library to help facilitate artificial neural networks within other applications. It is currently written in Java, C++, and C#. However only the java version is currently in active development. If you want to obtain a version other than the java version you will need to get it ... [More] directly from GIT. Our intentions are two fold. First, to provide a powerful interface for programs to include conventional artificial neural network technology into their code. Second, To act as a testing ground for research and development of new AI concepts. We provide new AI technology we have developed, and the latest algorithms already on the market. In the spirit of modular programming the library also provides access to the primitive components giving you greater control. [Less]

5.0
 
  0 reviews  |  2 users  |  1,032 lines of code  |  1 current contributor  |  Analyzed about 1 month ago
 
 

Pyevolve was developed to be a complete genetic algorithm framework written in pure python.

5.0
 
  0 reviews  |  2 users  |  27,501 lines of code  |  0 current contributors  |  Analyzed 7 days ago
 
 

The project is part of the metagovernment projects. We are trying to develop a website that permit a group of people to self organize

5.0
 
  0 reviews  |  2 users  |  38,048 lines of code  |  2 current contributors  |  Analyzed 1 day ago
 
 

METSlib is an OO (Object Oriented) metaheuristics framework in C++. Model and algorithms are modular: all the implemented search algorithms can be applied to the same model and personalized algorithms can be applied to very different models. METSlib implements the basics of some metaheuristics ... [More] algorithm: Random Restart Local Search, Variable Neighborhood Search, Iterated Local Search, Simulated Annealing (with linear, exponential and custom cooling schedule), and last but not least Tabu Search. [Less]

5.0
 
  0 reviews  |  1 user  |  8,616 lines of code  |  1 current contributor  |  Analyzed about 2 years ago
 
 
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The Genetic Algorithm Utility Library (or, GAUL for short) is a flexible programming library designed to aid in the development of applications that use genetic, or evolutionary, algorithms. It provides data structures and functions for handling and manipulation of the data required for serial and ... [More] parallel evolutionary algorithms. Additional stochastic algorithms are provided for comparison to the genetic algorithms. [Less]

5.0
 
  0 reviews  |  1 user  |  203,539 lines of code  |  0 current contributors  |  Analyzed 2 days ago
 
 

Project Moving!I've decided to migrate the code for Yet Another Double Fanucci Calculator (tm) to BitBucket in an attempt to better evaluate their platform for other private ventures that I am undertaking. See: http://bitbucket.org/jsvazic/yadfc/overview/ If you want to get involved in the ... [More] development, just drop me a line and I'll add you to the list of developers. Status Update!I am leaving LoZ altogether since I do no appreciate how the game is being developed or run. This does NOT mean that this project is dead! Quite the opposite, I will continue maintenance on this project and provide new releases as appropriate. I will scan the official forums for updates as appropriate, but feel free to log issues if you feel I may have missed something. Thanks. OverviewThis is a simple application for finding optimized double fanucci hands for the Legends of Zork online game, which uses a genetic algorithm rather than recursion to find a solution. What does this mean exactly? Well, currently the recursion-based calculators can take anywhere from 1-30 seconds to generate a solution, depending on how far you want them to go. By using a Genetic Algorithm (GA), YADFC can generate an optimal solution in less than 1 second! StatusVersion 2.3 now available!Fixes a problem where the slot order wasn't being properly followed, i.e. the 'best' hands weren't always going to your first slot. Added "Save As" functionality The name of the deck you have open will now display in the title bar Changes to a deck will add an indicator to the title bar indicating that a save needs to occur. FeaturesFast! Can find the best fit solution for a full Fanucci Deck in less than 1 second! Cross platform! Can run on Windows, Linux and Mac (requires Java SE) Intuitive interface! Nice big buttons to help you select which cards you have in your deck! Save and Load your Fanucci decks! Tweakable! Completely customizable controls for the underlying algorithm! Coolness factor! This isn't your moms recursive calculator! This one uses Artificial Intelligence (AI)! FREE! Also comes with source code for you curious types! Also licensed under a very generous MIT License which lets you re-use whatever you want without any special concerns. SpecificsWritten in Java Using the feedback on Double Fanucci from the LoZ forums (thanks all!). Swing application as well as a command-line version Command-line version requires a pre-formatted FanucciDeckXmlFile How To RunYou must have Java SE installed Download the binary release of YADFC GUI VersionAfter downloading the executable, either double-click on the yadfc-v2.3.jar file or go to a command prompt and execute: java -jar yadfc-v2.3.jarCLI VersionAfter downloading the executable, either double-click on the yadfc-v2.3.jar file or go to a command prompt and execute: java -classpath yadfc-v2.3.jar com.arm.fanucci.CLICalculator The Fanucci cards file is an XML file that defines the cards that you have. You need to manually create this file first. [Less]

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  0 reviews  |  1 user  |  2,346 lines of code  |  0 current contributors  |  Analyzed 2 days ago
 
 
 
 

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