Genetic Similarity Theory

The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.

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.

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.


Platforms: Windows, Mac, Linux

jrgp is a strong-typed Genetic Programming system, which features a graphical interface (gool) to setup and run GP-problems and a tool (fs-d) that greatly simplifies the definition of a GP-problem.


Platforms: Windows, Mac, Linux

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


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

Similarity Evaluator is a tool to analyse similarity function implementations and algorithms, where is possible to compare several APIs on performance, best result, similarity and discernability values.


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

Java library offering theory of sets/set theory functionality (complement, intersection, symetric difference, union, cartesian product and powerset). There's also an ant task/ant tasks included that provides the library's functionality


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

FREE Lite Version of LGV Theory Test (UK) uses the Latest Official DSA highway code revision question data bank in an intuitive, powerful way and is one of the most flexible applications on the market. REVISE MULTIPLE TOPICS at the same time! CHOOSE how m


Platforms: Mac

FREE Lite Version of PCV Theory Test (UK) uses the Latest Official DSA highway code revision question data bank in an intuitive, powerful way and is one of the most flexible applications on the market. REVISE MULTIPLE TOPICS at the same time! CHOOSE how m


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 zip file contains the Presentation (PDF) and M-files that were demonstrated in the MathWorks Webinar: Using Genetic Algorithms in Financial Applications delivered on Dec 11 2007.The purpose of the webinar was to highlight how Genetic Algorithms may be used to supplement portfolio...


Platforms: Matlab

Intended for an introductory course in control systems and for the practicing engineer, the goal of this book is to present a unified treatment of conventional and modern continuous control systems, and to show how to apply the theory presented to realistic design problems.For a full book...


Platforms: Matlab

This book is designed for an advanced course and is a companion volume to the introductory text, Modern Control System Theory and Design, 2e. In addition, it can serve as a text for practicing control system engineers who need to learn more advanced control systems techniques in order to perform...


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