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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.
A fully functional red-black tree implemented in C++/CLI with an OO approach of naming and structuring which makes the code highly readable as well as easily portable to C# or Java. The package also includes a binary search tree and two traversal algorithms.
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An R package for detailed inspection and analysis of LCMS data. An R package developed by Sukhdeep Singh at Department of Surgery and Cancer, Imperial College London,UK.
XPN is relies on a non relational native XML database, where XML documents are stored in a compressed form and indices enables fast access to structure and content, thus enabling a fast evaluation of XQuery queries.
Lightweight prime number generation library. Makes use of OpenMP and aims for performance. Suitable for applications in cryptography or just for educational demonstration.
Geneur is an Open Source scheduler for GRID. It is based on variation of genetic algorithms. Geneur uses backfill scheduling algorithm to create first genetic population.
This projects has the intent to take any file that has a header and any number of lines, take out the blank lines, the carriage return and the line feed, given as delimitation the "project number" format and generates a new clean file.
This is an intelligent Sudoku solver in c++. It is intlligent, because it uses several logical deduction methods, just like a person, before resorting to guessing. I was trying to teach my kids Sudoku, and taught a computer as proof of concept.
Sterobil is a project used to build a 3D model from photographic pictures, based on the principle of photogrammetry. This project was developped by ECE students, in collaboration with the C2RMF.
This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
This is the extended euclidean algorithm implemented in haskell.
It will put every single step of the algorithm in a file and show the actual result and everything in between.
This is implementation of parallel genetic algorithm with "ring" insular topology. Algorithm provides a dynamic choice of genetic operators in the evolution of. The library supports the 26 genetic operators. This is cross-platform GA written in С++.
ANT is a lightweight implementation in C of a kind of artificial neural net called Multilayer Perceptron, which uses the backpropagation algorithm as learning method. The package includes an introductory example to start using artificial neural nets.
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.
Crazy Turtle puzzle game solver utility. Other names: CRAZY TURTLE / LE JEU FOU DE LA TORTUE / NAUGHTY TURTLES / ŠAŠAVE KORNJAČE / NAGAJIVE ŽELVICE / SASAVE KORNJACE
Implementation of support of RFC 3484 - Default Address Selection for Internet Protocol version 6 (IPv6) for Linux. The support includes the implementation of policy table, API, etc, those are mentioned in RFC 3484.
The goal of this project is to build a co-occurrence network using google n-gram data. This project presents an easy and fast way to analyze Google n-gram data, which is contributed by Google Inc in 2006.