Optimization Algorithm

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

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

This algorithm deal with multimodal optimization problems under constraints. Platforms: Matlab

Firefly algorithm for nonlinear constrained optimization 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

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

Non Convex Optimization Algorithms for Group SparsitySolves a dummy OFDM sparse channel estimation problemReweighted Lm,p algorithm for noiseless case min||x||_m,p s.t. y = AxReweighted Lm,p algorithm for noisy case min||x||_2,p s.t. ||y - Ax||_qSmoothed L2,0 algorithm solves a smooth version... Platforms: Matlab

Algorithm::Pair::Best is a Perl module to select pairings (designed for Go tournaments, but can be used for anything, really). SYNOPSIS use Algorithm::Pair::Best; my $pair = Algorithm::Pair::Best->new( ? options ? ); $pair->add( item, ? item, ... ? ); @pairList = $pair->pick( ? $window... Platforms: *nix

This submission contains the demo files used in the Global Optimization with MATLAB webinar: http://www.mathworks.com/wbnr43346MultStart Demos * Peaks Minimization * Nonlinear Curve FittingGlobalSearch Demos * Peaks Minimization * Volumentric Efficiency MaximizationSimulated Annealing Demos *... Platforms: Matlab

Evolutionary optimization methods, inspired from natural processes, have shown good performance in solving complex optimization problems. For example, genetic algorithms (inspired from biological evolution of human and other species), ant colony optimization (based on ants effort to find optimal... 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

Conventional optimization algorithms using linear and non-linear programming sometimes have difficulty in finding the global optima or in case of multi-objective optimization, the pareto front. A lot of research has now been directed towards evolutionary algorithms (genetic algorithm, particle... 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

M-files accompanying the webinar titled "New Approaches to Constrained Optimization in MATLAB" held on November 05, 2005These files provide what you need to run the two demos:1) The first demo is a demonstration of bound constrained optimization of non-smooth objective function using GA and also... Platforms: Matlab

This folder contains a word document (optimization_problem_wth_solution.doc) that contains a description for an optimization problem along with its solution. The folder contains two m-script file that contain the solution for the Gradient_Descent_minimum and Gradient_Descent_maximum problems... Platforms: Matlab

Munkres algorithm (also known as Hungarian algorithm) is an efficient algorithm to solve the assignment problem in polynomial-time. The algorithm has many applications in combinatorial optimization, for example in Traveling Salesman problem.There are a few submissions in the File Exchange for the... Platforms: Matlab

Matlab Toolbox for Submodular Function Optimization (v 2.0)By Andreas Krause (krausea@gmail.com).Slides, videos and detailed references available at http://www.submodularity.orgTested in MATLAB 7.0.1 (R14), 7.2.0 (R2006a), 7.4.0 (R2007a, MAC), 7.9.0 (MAC)This toolbox provides functions for... Platforms: Matlab

Free 1-hour search engine optimization crash course on the basics of search engine optimization & how to submit to search engines. The course is broken down into 10 chapters: 1. What Is Search Engine Optimization? 2. Search Engine Optimization Part 1: Meta Tags 3. Search Engine... Platforms: Windows

The Portfolio Optimization model calculates the optimal capital weightings for a basket of investments that gives the highest return for the least risk. The unique design of the model enables it to be applied to either financial instrument or business portfolios. The ability to apply... Platforms: Windows

Algorithm::Dependency is a base class for implementing various dependency trees. SYNOPSIS use Algorithm::Dependency; use Algorithm::Dependency::Source::File; # Load the data from a simple text file my $data_source = Algorithm::Dependency::Source::File->new( foo.txt ); # Create the... Platforms: *nix