Onpage Optimization

Contains the demos (plus a few extra) that were shown in the August 21, 2008 Webinar titled "Tips and Tricks: Getting started using optimization with MATLAB".Included parallel computing examples that were not shown in the webinar (require R2008a products)

Engineers, scientists, and financial analysts frequently use optimization methods to solve computationally expensive problems such as smoothing the large computational meshes used in fluid dynamic simulations, performing image registration, or analyzing high-dimensional financial portfolios....

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Platforms: Windows, Windows 7, Windows Server

One of the most important guidelines of onpage SEO (search-engine-optimization) and in order for your webpage to load faster is that you use CSS Image Sprites for your webpage's images. This means that you do not insert a lot of images in your HTML code but combine them into one and you...


Platforms: Windows, Windows 8, Windows 7

IIS Memory & CPU Management and Optimization - eProc for IIS - Free solution eProc for Windows IIS Servers 2003/2008 provides physical memory optimization to processes while improving server performance, reducing the need and use of the swap file and maintaining maximum efficiency of physical...


Platforms: Windows

Free 1-hour search engine optimization crash course on the basics of search engine optimization and 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 Optimization...


Platforms: Windows

The C++ library Geneva allows to run large scale parametric optimization problems. It can run in serial or multi-threaded mode or in a networked environment. The library currently covers Evolutionary Strategies, Genetic Algorithms and mixed scenarios.


Platforms: Mac, BSD, Linux

NEW OPTIMIZATION TECHNOLOGY & PLANNING EXPERIMENT. Technology is designed for multidimensional optimization practical problems with continuous object functions. Technology higher efficiency than traditional optimization methods.


Platforms: Windows, Mac, Linux

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.


Platforms: Windows, Mac, Linux

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.


Platforms: Matlab

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

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