Gamma Correction Algorithm

This SMAWK algorithm takes as input a function for computing matrix values, and searches for the position of maximum value in each row. The matrix must satisfy the "totally monotone" property: in each submatrix (in particular each 2x2 submatrix) the positions of the maxima must move leftward as...

This is a simple implementation of the famous LZW algorithm.

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 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

NSGA-II is a very famous multi-objective optimization algorithm. I submitted an example previously and wanted to make this submission useful to others by creating it as a function. Even though this function is very specific to benchmark problems, with a little bit more modification this can be...


Platforms: Matlab

Gravitational search algorithm (GSA) is an optimization algorithm based on the law of gravity and mass interactions.This algorithm is based on the Newtonian gravity: "Every particle in the universe attracts every other particle with a force that is directly proportional to the product of their...


Platforms: Matlab

The Jonker-Volgenant algorithm is much faster than the famous Hungarian algorithm for the Linear Assignment Problem (LAP). This Matlab implementation is modified from the original C++ code made by Roy Jonker, one of the inventors of the algorithm. It is about 10 times faster than the munkres code...


Platforms: Matlab

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

findMIS is an heuristic algorithm for solving Maximum Independent Set problem (MIS).An independent set of a graph is a subset of vertices in which no two vertices areadjacent. Given a set of vertices, the maximum independent set problem callsfor finding the independent set of maximum...


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

This is an extremely fast implementation of the famous Hungarian algorithm (aslo known as Munkres' algorithm). The new version (V2.2)is about 1.5 times faster than the old version (V2.1). It can solve a 1000 x 1000 problem in about 20 seconds in a Core Duo (T2500 @ 2.00GHz) XP laptop with Matlab...


Platforms: Matlab

This algorithm will accept a Latitude, Longitude and Altitude location as well as a specific universal coordinated time. It will use this information and calculate the position of the moon in a local coordinate frame (az and alt aka az and el).Example Function Call:[Az El] = LunarAzEl('1991/05/19...


Platforms: Matlab

This algorithm deal with multimodal optimization problems under constraints.


Platforms: Matlab

These files are the MATLAB code for "Imperialist Competitive Algorithm (ICA)" which in some papers is referred by "Colonial Competitive Algorithm CCA".Evolutionary optimization methods, inspired from natural processes, have shown good performance in solving complex optimization problems. For...


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

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

It's a deterministic iterative zero order algorithm that can be used to solve unconstrained optimization problem. It finds the relative minimum of a two variables function with a deterministic iterative zero order algorithm. Pattern search method It finds the relative minimum of a two variables...


Platforms: Matlab

The code implements the so called Faddeev-Leverrier algorithm to compute the coefficients of the characteristic polynomial of a given matrix and to get the inverse of the matrix without extra cost.


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

This is an application of the Greedy Algorithm and the Local Search for finding a solution for the SC Distribution Network problem.We dealt with one level SC composed of a set of factories and a set of Sales Points, each sales point has a demand at a certain time, each factory has a production...


Platforms: Matlab