Simulated Annealing Optimization

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...

Estimating plant model parameters and tuning controllers are challenging tasks. Optimization-based methods help to systematically accelerate the tundlTCing process and let engineers tune multiple parameters at the same time. Further efficiencies can be gained by running the optimization in a...

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

We present a set of functions based on interval arithmetic to solve small size global optimization problems with guaranteed bounds on solutions. Interval analysis can be used to bound ALL solutions of nonlinear optimization problem, equality constrained or not as well to bound ALL solutions of a...


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

Dynamic job shop scheduling problem is one form of a job shop scheduling problem with varying arrival time job or not concurrent. This problem can be represented in graph form, which is to seek the shortest path from start point to destination point. One solution that can be used is with the ant...


Platforms: Matlab

This is a demo program of the paper Ant colony optimization for wavelet-based image interpolation using a three-component exponential mixture model," Expert Systems with Applications, Vol. 38, No. 10, Sept. 2011, pp. 12514-12520.


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

Ok, yes, my expectation was that when I saw this, before I downloaded it I expected it to be a student's homework assigment. In fact, this is a reasonably carefully crafted tool.One serious issue is that this code requires you to provide explicit functional forms for the gradient and Hessian....


Platforms: Matlab

New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems.Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to...


Platforms: Matlab

A 4 DOF arm based on the Motoman IA20 was built in AutoDesk Inventor. SimMechanics is used to generate a Simulink model. This model generates the dynamics for the robot implicitly, so there is no need to solve the equations of motion by hand. The dynamics are used by an control optimization...


Platforms: Matlab

The code performs a minimax optimization on a Simulinkk model consisting of empirically-derived human operator informatic parameters and real world nonlinearities. The tool finds solutions for the design of an input device (design variables are control gains) that interfaces human operators with...


Platforms: Matlab

Allows connection to MBTrading for either simulated trading (delayed quotes and fake money) or real trading (real-time quotes and actual funds). Various files for account connection, quotes and orders. So far not very well documented... work in progress.Also requires the free MBTrading SDK...


Platforms: Matlab

Implements various optimization methods which do not use the gradient of the problem being optimized, including Particle Swarm Optimization, Differential Evolution, and others. The implementation is simple and easy to understand.Also included are parallel versions of PSO and DE, as well as...


Platforms: Matlab

This is a demo program of Image edge% detection using variation-adaptive ant colony optimization, Transactions on CCI V, LNCS 6910, 2011, pp. 27-40.


Platforms: Matlab

Particle swarm optimization (PSO) is one of the modern heuristic algorithms that can be applied to continuous and discrete optimization problems.The original binary PSO (BPSO) has got some disadvantages that make the algorithm not to converge well.To deal with these disadvantages, a new BPSO...


Platforms: Matlab

These files are the MATLAB code for "Cuckoo Optimization Algorithm (COA)".Cuckoo Optimization Algorithm (COA) is inspired by the life of a bird family, called Cuckoo. Special lifestyle of these birds and their characteristics in egg laying and breeding has been the basic motivation for...


Platforms: Matlab

The attached ZIP file contains a tutorial for using the SonnetLab Toolbox for MATLABdlT«. SonnetLab is a free MATLABdlT« toolbox that enables users to control and automate Sonnet's 3D planar electromagnetic simulator.This function will read in a Sonnet Project representing a patch antenna. This...


Platforms: Matlab

CORE was written to facilitate optimization and design space exploration in the conceptual design phase or rotorcraft. The nature of the design problem for helicopters, and especially compound helicopters, which CORE also supports to an extent, requires tools for optimization and visualization of...


Platforms: Matlab

It is used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms, which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and...


Platforms: Matlab