Genetic Fortran

Parallel Genetic Algorithm Library (or PGAL for short) is a C++ toolkit for simply, efficiently, and swiftly producing genetic algorithm code that works across multiple processors. This is useful not only for those with multi-processor computers, but also for distributed and cluster computing...

CallGraph::Lang::Fortran is a Perl module with a Fortran 77 parser for creating call graphs. SYNOPSIS use CallGraph::Lang::Fortran; my $graph = CallGraph::Lang::Fortran->new(files => [glob(*.f)]); print $graph->dump; This module is a subclass of CallGraph which implements parsing Fortran...

Fortran::Format is a Perl module to read and write data according to a standard Fortran 77 FORMAT. SYNOPSYS use Fortran::Format; my $f = Fortran::Format->new("2(N: ,I4,2X)"); print $f->write(1 .. 10); # prints the following: # N: 1 N: 2 # N: 3 N: 4 # N: 5 N: 6 # N: 7 N: 8 # N: 9 N:...


Platforms: *nix

Fortran::Namelist is a Perl extension for Fortran namelists. SYNOPSIS use Fortran::Namelist; my $nml_file = /home/user/my_namelist.nml; my $nml=Fortran::Namelist->new( file => $nml_file ); my %new_group = ( group_name => { grp_var1 => some_string, grp_var2 => [ 1 , 2 , 3 ], } );...


Platforms: *nix

The Genetic Algorithm Utility Library (or, GAUL for short) is a flexible programming library designed to aid in the development of applications that use genetic, or evolutionary, algorithms. It provides data structures and functions for handling and manipulation of the data required for serial...


Platforms: C and C plus plus

PID controller has been extensively used in the industrial world. But in this controller it is difficult to tune the PID gains.We apply the genetic algorithm(GA) to tune the PID gains. The GA is agorithm using the biotic; gene the biotic; genetics.


Platforms: Matlab

We use the genetic algorithm (gatool) to determine the four parameters of the implicit Forst-Kalkwarf-Thodos Model. Predictions are in perfect agreement with data of vapour pressure of iodobenzene versus temperature for a temperature range from 380.15 K to 580.15 K.


Platforms: Matlab

Files used in the Webinar "Developing a Financial Market Index Tracker using MATLAB OOP and Genetic Algorithms"The zip file contains the data and files used to develop an application to track a market index using Genetic algorithm. The initial algorithm is then wrapped up in MATLAB OOP to create...


Platforms: Matlab

Optimisation for 4 variables using Genetic technique. Was designed to optimise surface impedance measurements


Platforms: Matlab

This heavily commented Fortran program serves as a simple example on how a MATLAB .m file can be called from Fortran. Suitable if this is your first time trying this.The basic mechanism is to pack the C-compiled .m into a .dll and link to it from Fortran. Argument and result xfer mechanism is...


Platforms: Matlab

Genetic Algorithm File Fitter, or just GAFFitter, is a command-line software written in C++ that arranges--via a genetic algorithm--an input list of items or files/directories into volumes of a certain capacity (target), such as CD or DVD, in a way that the total wastage is minimized. By smartly...


Platforms: *nix

FORTRAN Unit Test Framework, written in FORTRAN 95. So that all FORTRAN features can be tested. FRUIT has assertion, fixture, setup, teardown, report, spec, driver generation. Rake used as build tool. Tutorials at http://fortranxunit.wiki.sourceforge.net The core testing part is in FORTRAN, this...


Platforms: Windows, Mac, Linux

Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The


Platforms: Windows, Mac, Linux

GeneThello (read jə-ˈne-ˈthe-lō), is an acronym for genetic othello, an othello (reversi) playing program which based on Genetic Algorithm (GA). In principle GeneThello consist of an othello program and a genetic algorithm system.


Platforms: Windows, Mac, Linux

This is a cross-platform framework for using Genetic Algorithms for solutions. Written in Java and uses convinient plug-in features for every phase in the genetic development, while maintaining an easy-to-use API for easy integration into applications.


Platforms: Windows, Mac, Linux

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.


Platforms: Windows, Mac, Linux

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.


Platforms: Windows, Mac, Linux

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