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Java API for implementing any kind of Genetic Algorithm and Genetic Programming applications quickly and easily. Contains a wide range of ready-to-use GA and GP algorithms and operators to be plugged-in or extended. Includes Tutorials and Examples.
The PowerCiph Data EncryptionAlgorithm is a versatile, yet simplistic, encryptionalgorithm/protocol. The ultimate goal of the algorithm is simplicity, compactness, and a lack of prerequisites.
gaKnn(Genetic Algorithm Optimized K Nearest Neighbor Classification framework) is a frameowork for KNN optimization with a genetic algorithm. The genetic algothm used for this is JGAP (http://jgap.sourceforge.net/).
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The Security Annotation Framework (SAF) is an instance-level access control framework and field-level encryption framework driven by Java 5 annotations.
This is an algorithm to codify Spanish words to an equivalent phonetic code. That intends to be a substitute of Soundex algorithm that is not practical to use in Spanish. It is very useful for search engines based on text information.
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This is an academic project; the main objective is to generate an algorithm to parallelize a CNF formula and then feed the distributed parts to sequential SAT solvers, for this project we have choose to use Sat4J as the solver.
This educational software simulates an Ad-hoc network with AODV algorithm, it uses a high level view and only works in Routing layer. it has a user-friendly graphical user interface and has been written in java language.
The simpliZia-program implements the simplex-algorithm and is designed to help students of Operations Research to understand and learn the algorithm. This is a german project, source and program are actually written in german.
Proposed is an algorithm
that uses computer vision, combined with a modified Rubine classifier, to allow
arbitrary N-sided polygons as accepted sketches in real-time.
Project Tokaf is an general implementation of top-k algorithm. It provides interfaces for all modules that are needed. It also features user preferences module, for computing new preferences and manipulating existing ones.
KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
The main goal of OWLVE is to visualize graphically any OWL–lite file. Using powerful RCP and GEF technologies will improve the quality of graphics and diagrams.This project includes an algorithm for similarity calculus between two OWL files.
Luky Library is a set of java classes which abstract complex operations. It comprises of classes for networking, event handling, encryption, database handling, snmp monitoring, queues, semaphores, parsers, XML handlers and much more