Integer Singular Value Decomposition Genetic Algorithm Function Fitter. This is an optimization algorithm that performs a similar role to a neural network. ISVDGAFF 1.0 License - GNU General Public License (GPL)
Open Genetic Algorithm Toolbox was developed as an accessible MATLAB tool that allows you to run a Genetic Algorithms on any problem you want to model. Genetic Algorithms are search heuristics developed to find solutions to any problem through bio-inspired heuristics. Now, you can use this...
enetics is an Genetic Algorithm Library written in Java. It is designed with a clear separation of the several concepts of the algorithm, e.g. Gene, Chromosome, Genotype, Phenotype, Population and FitnessFunction. This project provides an Genetic Algorithm (GA) implementation. Genetic...
Free Genetic Algorithm Forecaster Stock Markets Forecast 1 to 30 days out. FREE REAL TIME FORECASTS. Just open the program, select a symbol to forecast, select how many days in the future you want, and press train. The system will automatically gather the data, train itself, and forecast the...
A concise example of the classical genetic algorithm, with a fancy windows terminal display. Features DNA editing, save/load, customizable constraints and statistics logging.
FGA (Fast Genetic Algorithm) is a simple yet powerful implementation of genetic algorithms. The library provides many variants of crossover and selection procedures, and a parallel version of the algorithm is included.
Genetic Algorithms General Solver (GAGENES) is a C++ implementation of the genetic algorithm concept.
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 ++.
An object oriented library of an Genetic Algorithm, implemented in Java. Clear separation of the several concepts of the algorithm, e.g. Gene, Chromosome, Genotype, Phenotype, Population and Fitness Function. The fitness calculation is parallelized.
The Parallel Genetic Algorithm Library (PGAL, pronounced 'Piggle') is a C++ toolkit for simply, efficiently, and swiftly producing genetic algorithm code that works across multiple processors.