Genetic Fortran

The Open Fortran Project (OFP) provides a Fortran 2008 compliant parser and associated tools. These tools provide a Java and C API for actions called when parser rules are completed. It also provides Fortran interfaces to the OpenCL runtime (new).

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.


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

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 MATLAB Compiler (v4, R14 onwards) can package MATLAB code into an executable or C/C++ shared library. Calling a C shared library from Fortran, however, can be difficult. The mixed-language issue is C vs. Fortran calling conventions. This is an example of how to call a MATLAB...


Platforms: Matlab

SYNTAX: B = fulltosparse(A)A = full 2-dimensional double matrixB = sparse 2-dimensional double matrix version of AThis example demonstrates how to populate a sparse matrix. For the purpose of this example, you must pass in a non-sparse 2-dimensional argument of type double. fulltosparse.for is...


Platforms: Matlab

Here are some configuration files to allow the mex -setup being withi) Intel Fortran 8.1 with MS Visual Studio 2003ii) Intel Fortran 10.1 with MS Visual Studio 2005


Platforms: Matlab

There is not yet any official support for use of the latest Intel 9.1 fortran compiler with MEX. The official support is for 9.0 and requires Visual Studio/C++ 2003 for the linker.This MEX options file works for the latest 9.1 fortran compiler and Visual Studio 2005.The path for the compiler and...


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

g95 projects goal is to create a free, open source Fortran 95 compiler. The code has been donated to the Free Software Foundation for inclusion in GCC, the Gnu Compiler Collection. G95 is still in a beta state. G95 can compile most fortran 90/95 programs just fine on a wide variety of...


Platforms: *nix

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

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