Multiplication Algorithm

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...

This function do the Euclid's algorithm. As a matter of fact, for two given polynomials n, m (which are the polynomials of the symbolicvariable "s") it gives two other polynomials x, y such that nx+my=1.

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

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

This is a small example code for "Steepest Descent Algorithm". It implements steepest descent Algorithm with optimum step size computation at each step. The code uses a 2x2 correlation matrix and solves the Normal equation for Weiner filter iteratively.Reference:Adaptive Filter Theory 3rd...


Platforms: Matlab

The 2-column vector contains cities' coordinates. The algorithm generates the optimal path to visit all the cities exactly once, and return to the starting city.The algorithm has its limitations, and based on the cities' distribution on the map it may or may not give the optimal solution.It...


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

NLMS is one of the adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of NLMS algorithm. The weights of the estimated system is nearly identical with the real one. Also , adaptive learning rate has been applied.A reference is used to...


Platforms: Matlab

The code implements the algorithm as given in Chen et. al 1991.It takes max tolerance from the user.It selects Ms significant regressors from the total M regressors.Unfortunately, the error obtained after training the RBF network isn't as expected. Is there a mistake in my code???Please feel free...


Platforms: Matlab

General implementation of matlab version of Viterbi algorithm specifically written for gene structure finding problem in mind. However, it can be modified to suit the goal of a user.Input:Transition Probability MatrixEmission Probability MatrixInitial Probability MatrixStates Matrix (ie....


Platforms: Matlab

In many practical signal processing problems, the objective is to estimate from measurements a set of constant parameters upon which the received signals depend.For example, high-resolution direction-of-arrival (DOA) estimation is important in many sensor systems such as radar, sonar, electronic...


Platforms: Matlab

this algorithm predicts the received signal strength for the mobile user to avoid fluctuation in received signal strength during localization of the mobile user(finding mobile user's location)


Platforms: Matlab

The Matlab convhulln is a gateway to the quickhull algorithm ( see www.qhull.org ). In my opinion, one weak point of this mex routine is that it processes all the points without performing any preliminary filtering.In many cases it would be faster if only the point that can be part of the...


Platforms: Matlab

The sound denoising algorithm is based on the popular spectral subtraction technique. Based on the spectrum of the vuvuzela sound, this denoising technique simply computes an antenuation map in the time-frequency domain. Then, the audio signal is restored by computing the inverse STFT. See [1-3]...


Platforms: Matlab

We propose a new global optimization algorithm based on a harmony search scheme, termed as harmony element string algorithm (abbreviated as HEA). The algorithm has five fundamental features: (1) The states of the system is represented by strings of elements {0,1,2,3,4} and hence the search of the...


Platforms: Matlab

In this M-file, the implementation of ACO Algorithm is given with the support of reference papers listed. You can easily use it as following command to see the pictures of result and the playing iterative course.ACO('filename.tsp');filename.tsp is the problem file of the Symmetrical or...


Platforms: Matlab

The example is on developing an algorithm for detecting an object (green ball) in MATLAB. The demo highlights* image import (and video import)* image visualization* simple image processing* automatic report generation* GUI building* deploying stand alone applicationYou can find the recording of...


Platforms: Matlab

This function contains the well known greedy algorithm for solving Set Cover problem (ChvdodAtal, 1979), with two small modifications:* In case of more than one possible choice at a certain step, the biggest set is chosen;* Once the solution is found, we check the selected sets to find a better...


Platforms: Matlab

Algorithm::TravelingSalesman::BitonicTour is a Perl module to solve the euclidean traveling-salesman problem with bitonic tours. SYNOPSIS use Algorithm::TravelingSalesman::BitonicTour; my $bt = Algorithm::TravelingSalesman::BitonicTour->new; $bt->add_point($x1,$y1); $bt->add_point($x2,$y2);...


Platforms: *nix

A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with respect to its parameters and to initial population selection. Detailed logging of...


Platforms: Matlab