Aha Acls Algorithms

A few popular metaheuristic algorithms are included, such as the particle swarm optimization, firefly algorithm, harmony search and others.

In this submission we present the code of the Replacement Method (RM) [1-4] and Enhanced Replacement Method (ERM)[5], that were proposed some time ago by our group. Both methods produce linear regression QSPR-QSAR models that are quite close the FS (full search) ones with much less computational...

Introduction to Stochastic Search and Optimization is an overview of the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The book may serve as either a reference book for researchers and...


Platforms: Matlab

This set of programs correspond to demos, exercises, and implementations of algorithms described inAbdi H. (1994) Les Reseaux de Neurone (in French) andin (in English)Abdi, Valentin, Edelman (1999) Neural Networks. SageThese include:Linear auto and hetero associators, radial basis function...


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

Contains three matrix completion algorithms and a demo script for running them. Also compares against other matrix completion algorithms - Singular Value Thresholding and Fixed Point Iteration.Solves the following three optimization problems:min rank(X) subject to ||y - M(X)||_2


Platforms: Matlab

Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiersPlease run mexme_NN to recompile mex files on your own plateformPlease run test*.m to run demos


Platforms: Matlab

RLS is one of the great adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of RLS algorithm. The weights of the estimated system is nearly identical with the real one.A reference is used to write the algorithm.


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

This is a large set of test functions, which may be used to test the effectiveness of global optimization algorithms. Some are rather easy to optimize (rosenbruck, leon, ...), others next to impossible (crosslegtable, bukin6, ...).All the test-functions are taken from either [1], [2] or [3] (see...


Platforms: Matlab

This function implements a method of using genetic algorithms to optimise the form of a polynomial, i.e. reducing the number of terms required in comparison to a least-squares fit using all possible terms, as described in the following paper:Clegg, J. et al, "The use of a genetic algorithm to...


Platforms: Matlab

Aperiodic 1D and 2D binary arrays from Thue-Morse and Rudin-Shapiro algorithms are generated based on user input. Saves data and picture to file.Rudin-Shapiro: g(A)=AC, g(B)=DC, g(C)=AB, g(D)=DBThue-Morse: g(A)=AB, g(B)=BASee Macia, "The role of aperiodic order in science and technology" Rep....


Platforms: Matlab

Two algorithms to adjust the contrast level of images are coded. One of the method is contrast stretching.Works for both gray and colored images.


Platforms: Matlab

MATLAB routines for the following Adaptive Resonance Theory Algorithms: Art1, Artmap, Fuzzy Art, Fuzzy Artmap. These routines are described and their usage explained in Appendix A of the book "Adaptive Resonance Theory Microchips", Kluwer Academic Publishers, ISBN 0-7923-8231-5. Chapter 1 of the...


Platforms: Matlab

This paper (and accompanying MATLAB source code) is a review of the block matching algorithms used for motion estimation in video compression. It implements and compares 7 different types of block matching algorithms that range from the very basic Exhaustive Search to the recent fast adaptive...


Platforms: Matlab

Solves the linear least squares problem with nonnegative variables using the newton's algorithm in:Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems with nonnegative variables, Mathematics of Computation, 63(1994), pp....


Platforms: Matlab

Solves the linear least squares problem with nonnegative variables using the predictor-corrector algorithm in:Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems with nonnegative variables, Mathematics of Computation,...


Platforms: Matlab

SAT solvers by Cross-Entropy (CE) and a Botev-Kroeze (BK) optimization algorithmsCNF SAT problems can be formulated as :S(X)=sum(j=1,...,m)C_j, where C_j=max(0 , (2X_i-1)*AjiPlease run the demo filestest_ce_satA.mtest_cemcmc_satA.mIn order to compile mex-files on your platform, please run...


Platforms: Matlab

a kind of usefull clustering algorithm that is better than kmeans and ward hierarchical clustering algorithms in some data sets


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