Genetic Fortran

This program demonstrates the optimization by genetic algorithm to find the global maximum height for thee dimensional multiple peak surface. The GA operates by real coding method with elitism

Simplified instructions for calling subroutines written in other languages such as FORTRAN. (MEX files) Simplified instructions and hints for using the MATLAB compiler to generate code which can be distributed.

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

FORTRAN code provided in Xingguo Pan's 2002 dissertation entitled "Coherent Rayleigh-Brillouin Scattering" was converted to .m and is provided here. Both s6 and s7 models are provided. The code is validated


Platforms: Matlab

This code is a demo of using Genetic Algorithms (GA) to solve a simple constrained multi-objective optimization (MOO) problem.The objective is to find the pareto front of the MOO problem defined as follows: Maximize: f1(X) = 2*x1 + 3*x2 f2(X) = 2/x1 + 1/x2 such that: 10 > x1 > 20 20 > x2 > 30The...


Platforms: Matlab

Learn how to create MEX-functions: programs written in C, C++, or Fortran code that are callable from MATLAB. This article is a guide to getting started and performing practical tasks as well as a reference.Contents:* Introduction* Getting Started* Inputs and Outputs* Creating an Uninitialized...


Platforms: Matlab

This function is a simple but flexible and usefull tool to implement genetic optimization algorithms that work with populations of custom units. This tool allows to customize the fitness function, the stopping criteria and the cross-over and mutation operators. This is a simple tool, written in...


Platforms: Matlab

This function can find the maximum of constrained and unconstrained problems with using of genetic algorithm (real coding). Also the performance of GA is plotted vs. the number of generations (for 2D problems).


Platforms: Matlab

ASNread reads in ASN-formatted genetic sequence data into a MATLAB structure.


Platforms: Matlab

Have you ever wanted to call the engCallMATLAB function, only to realize that it isn't available? Well, now it is! This Fortran routine mimics the functionality of the mexCallMATLAB function, but for engine applications. Has the same argument list as mexCallMATLAB with the addition of the Engine...


Platforms: Matlab

This function allows the user to specify a file and FORTRAN namelist to be read into a MATLAB structure


Platforms: Matlab

The physunits toolbox is an attempt to confer dimensional "awareness" to the MATLAB environment. The motivation for this, as well as a suggested way to go about it, are explained in% Petty, G.W., 2001: Automated computation and consistency checking ofphysical dimensions and units in scientific...


Platforms: Matlab

mxLogicalFunctions.for provides a suite of functions to support conversion of Fortran logical variables to/from MATLAB style mxArray variables in mex routines or engine applications. Assumes that the MATLAB logical class uses 1 byte for storage of each logical element. When testing a MATLAB...


Platforms: Matlab

Techniques from information theory are usual for the selection of variables in time series prediction or pattern recognition. These tasks involve, directly or indirectly, the maximization of the mutual information between input and output data. However, this procedure requires a high...


Platforms: Matlab

It is used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms, which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and...


Platforms: Matlab

The user is presented with the near-optimal solution and performance chart in a dialog window.


Platforms: Matlab

The user has to supply the fixed ending points before the script can be ran.


Platforms: Matlab

It finds a (near) optimal solution to a variation of the M-TSP (that has a variable number of salesmen) by setting up a GA to search for the shortest route (least distance needed for the salesmen to travel to each city exactly once and return to their starting locations).Each salesman travels to...


Platforms: Matlab

Finds a (near) optimal solution to a variation of the "open" 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 unique individual cities without returning to the starting location).Each salesman starts at the...


Platforms: Matlab

The script finds a (near) optimal solution to a variation of the "open" 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 unique individual cities and finally to the end location).Each salesman starts at the...


Platforms: Matlab