A general genetic algorithm framework
Extensible query-planning framework
Optiq allows you to write database-like queries on any data source. It is not a database; it mediates between data sources, processing resources, and clients, making best use of available resources. Optiq is dynamically extensible. You can add front-ends, such as SQL/JDBC and LINQ, and you can add back-ends such as JDBC databases, HDFS/Hadoop, flat files. You can also add operators and transformation rules.
Library for optimization using a genetic algorithm or particle swarms
libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported.
Utility converts the weights file of a MLP Breadboard into a formula
The NeuroSolutions: Formula Generator utility converts the weights file of a default MLP breadboard (1-hidden layer with a TanhAxon in the hidden layer and either a TanhAxon or BiasAxon in the output layer) into a usable formula that can be copied and pasted into your own programs to compute the output of the trained neural network.
Generic platform for evolution processing.
Evilute is generic platform for evolution processing. In that early phase of project its purpose is solving Travelling Salesman Problem.
This will be ther official repository of Stockanalyses. With this program it is possible to analyse stocks.
uCOS-III porting for STM32F2xx (STM322xG-EVAL)
C++ framework for application of any type of evolutionary computation.
ECF is a framework intended for application of any type of evolutionary computation (GA/GP, DE, Clonalg, ES, PSO, ABC, GAn, local search...). It offers simplicity for the end-user (parameterless usage, tutorial) and customization for experienced EC practicioners.
Framework for development of simple evolutionary algorithms / island models programs in distributed environment using MapReduce programming model based on hadoop.
Sistema GnoSis para calibragem de ontologias
Logi (Local Observations to Global Integration) transforms several local coordinate systems (composed of polar measurements) into a global spatial uniform network with respect to the Guide to the Expression of Uncertainty in Measurement (GUM).
Math tools in Python to tackle down problems in Operational Research fields. Comes with a Django based web interface to allow remote access to complex simulation means.
An API for Java developers who need Genetic Algorithms
This API is intended to help developers use genetic algorithms in their own java applications. GeneticLibrary.zip contains the netbeans project of the API itself. GeneticTrial.zip contains another netbeans project which is an example explaining how to use the API. docs.zip is the documentation of the API. Please take a look there, it is really helpful. I have only two request from who will use this API; USE, UPDATE AND MODIFY IT FREELY JUST NOTE THE ORIGINAL AUTHOR
IVS Reference Point Determination
Skalli is a simple tool to estimate the IVS reference point of an azimuth-elevation type VLBI radio telescope.
PCR primers / probes design from multiple & degenerate sequences
Gemi is no longer supported. Please, contact Dr. Haitham Sobhy for details.
Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator
Orbgnosis a satellite targeting system that finds optimal rendezvous tours among many target vehicles. Given initial states for a chaser and multiple targets, Orbgnosis finds tours (i.e. Wandering Salesman Problem) that visit each target in turn.
An heuristic image stitcher
An heuristic image stitcher made to test Genetic and PSO based algorithms
Parallel Processing for Next-Generation Sequencing (NGS) Analysis
High-throughput next generation sequencing (NGS) technology has quickly emerged as a powerful tool in many aspects of biomedical research. However, along with its rapid development, the data magnitude and analysis complexity for NGS far exceed the capacity and capability of traditional small-scale computing facilities, such as multithreading algorithms on standalone workstations. To address this issue, here we present a solution using the ever-increasing supply of processing power by massive parallel processing (MPP) systems.