Cryptography Genetic

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

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.

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

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

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

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

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

Finds a (near) optimal solution to a variation of the M-TSP by setting up a GA to search for the shortest route (least distance needed for each salesman to travel from the start location to individual cities and back to the original starting place).Each salesman starts at the first point, and...


Platforms: Matlab

fastbreeder is an experimental genetic programming synthesiser. This program is free software, developed for linux, using jack for audio. Fastbreeder is essentially a 4 button synth. The idea is to grow code by choosing from a range of automatically generated variations of functions, you dont...


Platforms: *nix

FlexiCrypt is a universal cryptography toolkit for managing certificates and symmetric keys. FlexiCrypt can perform many kinds of encryption, decryption, signing, and several related tasks..


Platforms: *nix

n-genes is a powerful Genetic Algorithms and Programming toolkit written for Java 5. Using advanced object oriented techniques, like generics and introspection, it is one the simplest system to learn and use. N-geness design allows fast coding and a total flexibility. n-genes is an...


Platforms: *nix

GAJET (Genetic Alrogithm for Java Evolutionary Testing) is an automatic test generation tool for Java that uses a genetic algorithm. GAJET project uses EMMA to measure test coverage.. Get GAJET at SourceForge.net. Fast, secure and free downloads from the largest Open Source applications and...


Platforms: *nix

JGAP (pronounced "jay-gap") is a genetic algorithms component written in the form of a Java package. JGAP project provides basic genetic mechanisms that can be easily used to apply evolutionary principles to problem solutions. The ground is laid for introducing Genetic Programming to JGAP in the...


Platforms: *nix

Crogai consists of a mixture of crowd simulation, AI, and genetic algorithms. It is possible to set up simulations and test different AI in a full 3D environment with a small physics engine, terrain, collision handling, etc. Crogai is inspired by the OpenSteer projet and uses steering behaviors...


Platforms: *nix

PGAPy is a wrapper for pgapack, the parallel genetic algorithm library, a powerfull genetic algorithm library by D. Levine, Mathematics and Computer Science Division Argonne National Laboratory. The library is written in C. PGAPy wraps this library for use with Python. The original pgapack...


Platforms: *nix

Acovea implements a genetic algorithm for finding the "best" options for compiling programs with the GCC C and C++ compilers. ACOVEA (Analysis of Compiler Options via Evolutionary Algorithm) implements a genetic algorithm to find the "best" options for compiling programs with the GNU Compiler...


Platforms: *nix