Genetic Pedigree Problems

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.

An optimized java library for genetic algorithms. The library is designed to be fast and memory light, but still very easy to use.

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.


Platforms: Windows, Mac, Linux

The Python Genetic Programming Project implements a Genetic Programming System a la J Koza in Python.


Platforms: Windows, Mac, Linux

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.


Platforms: Windows, Mac, Linux

Springbots is a python application which takes a set of 2d physical structures built with nodes and movable springs and evolve them for specific tasks like walking, swimming and jumping using genetic algorithm.


Platforms: Windows, Mac, Linux

Trilobots is an arcade-style shooter that evolves the abilities and programming of the enemies using a genetic algorithm. The end goal is to make the evolution transparent, allowing users to learn how genetic algorithms work while having fun.


Platforms: Windows, Mac, Linux

VKAS uses genetic programming methods to find out the relationship among a set of independent and dependent variable. It is a problem solver software which uses evolutionary computing methods.


Platforms: Windows, Mac, Linux

Solving word problems is an area where elementary students overwhelmingly display difficulties. Master Math Word Problems can help sharpen skills through practice. Third through fifth graders learn to watch for key words and translate those into mathemati


Platforms: Mac

M-files accompanying the " Genetic Algorithms & New Optimization Methods in MATLAB " webinar.These files provide what you need to run the two demos: Optimization of non-smooth objective function, and Optimization of a random stochastic objective function.To run the first demo run the file...


Platforms: Matlab

This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link (redundant) robotarm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a maximumpre-defined torque, without collision with any...


Platforms: Matlab

SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language. Without bells and whistles, it faithfully implements the specification for a Simple GA given on pgs 10, 11 of M. Mitchell's GA book. See comments in code for details.This script has played a crucial...


Platforms: Matlab

TurboGA is an augmented version of the Matlab script SpeedyGA (also available on File Exchange). TurboGA uses a simple mechanism called clamping, which, according to a new theory about the workings of genetic algorithms (see http://www.cs.brandeis.edu/~kekib/dissertation.html ), should...


Platforms: Matlab

We use the genetic algorithm (gatool) to determine the three parameters of the simple Antoine equation and the six parameters of the Modified Antoine Model. Predictions are in perfect agreement with experimental data of vapor pressure of ethanol versus temperature for a temperature range from...


Platforms: Matlab

It is going on investigations of Heart VI1 simulator simulink,in case of Frequency Cardiac Controled, with unic monitoring scope and compiling problems:1)Problems 1:i think that syntax of simulink accept serial Block Connection2)Problem 2:i think that simulink syntax aceepts easily in feedback...


Platforms: Matlab

Solution of Fractional Optimal Control Problems using Rational Approximation[1] C. Tricaud and Y.Q. Chen: Solving Fractional Order Optimal Control Problems in RIOTS_95 - A General-Purpose Optimal Control Problem Solver, Proceedings of the 3rd IFAC Workshop on Fractional Differentiation and its...


Platforms: Matlab

The script allows to easily fit predefined complex analytical laws exploiting the potentiality of Genetic Algorithms.The script receives as input the handle to the analytic laws to be fitted to data. Such law may depend on multiple variables and several parameters. This optimization approach may...


Platforms: Matlab

These files are an adaptation of the ANOVA variance component estimators to be used in the analysis of genetic data, specifically Cockerham's 1969 Theta. Formulae were adapted from Sokal and Rohlf's 1995 Biometry, and test files from the book are given as reference.


Platforms: Matlab

This particular hybrid genetic optimizer is referenced from: J Hu "Radio Frequency Front-End Measurement and Modeling," Ph.D. dissertation, North Carolina State University, Raleigh NC, 2011.It's used in fitting a RF power amplifier model to measured data and extracting the model parameters.


Platforms: Matlab

N-queen generalized genetic algorithm. Parameters can be changed and tested.It has very basic but effective functions of selection,crossover and mutation.Queens are randomly positioned in the beginning.I have written it for n-queens.It gives a good amount of solutions for queens > 8.Also you can...


Platforms: Matlab