Genetic Fortran

The function implement the 1D Walash Transform which can be used in signal processing,pattern recognition and Genetic algorithms. The Formula of 1D Walsh Transform is defined in mfile

The function generates sequency(Walsh) ordered Hadamard matrix useful for image processing, signal processing, genetic algorithms etc.

L-BFGS-B is a collection of Fortran 77 routines for solving nonlinear optimization problems with bound constraints on the variables. One of the key features of the nonlinear solver is that the Hessian is not needed. I've designed an interface to the L-BFGS-B solver so that it can be called like...


Platforms: Matlab

This demo shows how to use MATLAB, Optimization Toolbox, and Genetic Algorithm and Direct Search Toolbox to optimize the design of a double wishbone suspension system.Note: You will need to have the following products installed in order to run this demo: MATLAB, Simulink, Optimization Toolbox,...


Platforms: Matlab

MATLAB implementation of IGRF11 fortran code as function for calculating Earth mean magnetic field. Implementation has been modified to default to GPS reference coordinates with output B components North, East, and Vertical. Spherical harmonic coefficients are derived from downloaded Excel...


Platforms: Matlab

it is used for genetic algorithm implementation for scheduling in wireless sensor networks


Platforms: Matlab

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


Platforms: Matlab

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

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

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