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Sleepwalker aims to provide a highly abstract, universal, reusable, extensible Java-based genetic algorithms framework which can be used as a basis for modelling and programming virtually any practical optimisation problem.
X-GAT (XML-based Genetic Algorithm Toolkit) is a Java framework to optimize problems with Genetic Algorithms (GAs). Differently from other frameworks, X-GAT contains ready-to-use GAs implementations and new features can be easily added.
Gearbox provides a collection of usable peer-reviewed robotics-related libraries. Gearbox is not an integration framework. Rather, it provides a set of implementations, without insisting on a standard API, for use by any number of existing frameworks.
Based on the introduction of Genetic Algorithms in the excellent book "Collective Intelligence" I have put together some python classes to extend the original concepts.
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A base set of libraries. Boilerplate type code and algorithms.
Currently skuttil (Java util & parsing code) and searKit (generic Java search framework).
Currently, all existing formal tools are designed to serve as formal verifiers, using one implementation or another. JTLV is a new tool aimed to facilitate and provide a unified framework to the development of formal verification algorithms.
EasyGenetic is a highly efficient C++ framework for genetic master-slave algorithms. It heavily makes use of template metaprogramming to provide a fully customizable environment that accommodates most of user's needs without sacrificing efficiency.
CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics.
Secure P2P Instant Messenger running on .NET Framework 2.0. Uses server to store user information (user name, password, email address, friends list, log in state, IP address) in encrypted form. Uses custom designed symmetric encryption algorithm.
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Are Plain Old Java Objects (POJOs) to complex? The aim of this framework is, to convert JavaBeans (complex Java-Object graphs) in a simplified representation (JSON, XML, CSV or other object structures) or handle and control access to JavaBean properties.
A .net implementation of a framework for genetic algorithms. This tool enables programmers to write the "core" of their problem and have a genetic algorithm immediately setup for solving it.
HDRFlow is a framework to process high-dynamic range (HDR) and RAW images. It's written in C++, and is both cross-platform and hardware accelerated on modern GPUs.
Framework: Project for Evolutionary Predator Prey Algorithms, used to implement an evolutionary scheme based on the developement by van Laumanns. Implement testproblems, special behaviours, environments, and other yet not known features.
An implementation of memory-prediction framework applied for image recognition. Based on Jeff Hawkins' book On Intelligence. It models the high-level hierarchical architecture of human neocortex and uses Bayesian belief revision for making predictions
The Spiffy framework is a collection of often used helper methods and utility classes used in industry. Such methods and classes solves existing and re-ocuring practical problems and remedies annoying features of the Java language.
Combean is a Java framework for mathematical structures and optimization algorithms. Through a set of Java interfaces and JavaBeans-based config, Combean glues optimization codes together - leading to more interoperable, adaptable and flexible solutions.
The Open Optimization for Java provides a framework and the implementation of commonly-used algorithms found in Graph Theory and Network Optimization, e.g. shortest path and postman problem.
Theba is a plugin-based image analysis framework for segmentation of and measurements on 3D and 2D images. Theba has a nice GUI that allows inspection and manipulation of the image and a wide range of plugins including segmentation.
Sinalgo is a simulation framework for testing and validating network algorithms. It allows for quick prototyping and verification in freely customizable network settings. It is mainly suited for packet-oriented wireless networks.
FastAOP is an very high performant AOP (Aspect Oriented Programming) framework for java. The framework was initially
developped to support performance profiling and monitoring for large J2EE applications with nearly no runntime overhad.
Announcement: jp-mobile and fastAOP will go mobile, please visit jp-mobile (GWT based) website at: http://code.google.com/p/jp-mobile/