Contrast Optimization

A Java workbench and toolkit for developing, evaluating, and playing with classical and state-of-the-art optimization algorithms on standard benchmark problem domains; including reference algorithm implementations, graphing, visualizations and much more.

Two programs are attached: sa_demo demonstrates how the simualted annealing works for simple functions, while sa_mincon solves a welded beam design problem using simulated annealing, which can easily be used to solve other constrained optimization problems in engineering design.

This is a demo program of the paper J. Tian, W. Yu, and L. Ma, "AntShrink: Ant colony optimization for image shrinkage," Pattern Recognition Letters, Vol. 31, Oct. 2010, pp. 1751-1758.


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

It is a hill climbing optimization algorithm for finding the minimum of a fitness function in the real space. The space should be constrained and defined properly. It attempts steps on every dimension and proceeds searching to the dimension and the direction that gives the lowest value of the...


Platforms: Matlab

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

This is an accelerated PSO (APSO), developed by Xin-She Yang in 2008. APSO does not use velocities or any inertia parameter.A full program for solving nonlinear constrained optimization problem (welded beam design as an example) is provided, which can be extended to solve other continuous...


Platforms: Matlab

The Particle Swarm Optimization Research Toolbox was written to assist with thesis research combating the premature convergence problem of particle swarm optimization (PSO). The control panel offers ample flexibility to accommodate various research directions. After specifying your intentions,...


Platforms: Matlab

Demo files for MathWorks webinar "Introduction to Simulink Design Optimization" which occured on 3/26/2009.The recording is available here:http://www.mathworks.com/company/events/we...59&p2=493937477


Platforms: Matlab

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

Implements the Complex Method of Constrained Optimization, as proposed by Box (1965), improved by Guin (1968) and Krus (1992), and following the method in Andresson (2001). This is capable of optimizing a "black-box" system with few constraints on the optimization function and requiring no...


Platforms: Matlab

This is an image contrast enhancement algorithm that overcomes limitations in standard histogram equalization (HE). The two primary features is adaptive HE (AHE), which divides the images into regions and performs local HE, and the contrast limited AHE (CLAHE), which reduces noise by partially...


Platforms: Matlab

It estimates the Newton Raphson optimization procedure for (m) unknowns of (n) non-linear equations. In case no Jacobian vector is presented, then the initial Jacobian vector is estimated by Broyden Method (multivariate secant approach) and it is then updated using the Sherman Morrison...


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

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...


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

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