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This project aims to improve the Civilization 4 AI using a geneticalgorithm. We also have some alternative AI algorithms which have been custom written that will hopefully also improve the AI.
The project implements Dana Angluin's learning algorithm with intent to look into the possibility of computational learning of changing (shifting) information.
OGA, Open GeneticAlgorithm 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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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
Type setting engine in Java. Uses an algorithm similar to Tex to layout text and images on a page and create a pdf output, supports multiple columns and images, which can be placed at arbitrary positions, spawm columns etc.
The JefNET (Java Evolutionary Framework Network) Proj. consists of three subprojects: JEF, Dna, JXTAJef. Our intent is to provide a distributed genetic programming framework for the Java language, and a network in which classes can spontaneously evolve.
IntiMap is a convenience tool to run the MS-DOS command-line tool MapPop for selective genotyping. It adds facilities to prepare genotyping data files, manage genotype sets and visualize mapping results (genetic marker maps).
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DrPangloss is a python implementation of a three operator geneticalgorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
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.
NullAllEst is the implementation of a maximum likelihood algorithm to estimate the frequency of a null allele in microsatellite genetic data. A Markov Chain Monte Carlo simulation is used to solve the likelihood function.
An implementation of the Compositional Pattern Producing Networks (CPPNs) and Neuro-Evolution of Augmenting Topologies (NEAT) proposed by Kenneth O. Stanley, based on the Genetic Art tool from Mattias Fagerlund.
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.
This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
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.
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.
Markov interpreter is an interpreter for "Markov algorithm". It parses a file containing markov production rules, applies it on a string and gives the output.
Java aplication that helps genetic engeneers to simulate the outcome of experiments (electroforesis, DNA cloning and cleavage), search for specific sites in
DNA sequence, draw DNA maps
with features: protein and regulation genes, restriction sites
Private-key, symmetrical (same password to encrypt and decode) file encryption with 8-bit to 2147483647-bit (2^3 to 2^31) encryption using my own algorithm and my own extension of MD5 (http://blog.robtoth.net/2009/06/tencryption-computer-programming.html