Optimization Routine

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

GANSO is a programming library for global and nonsmooth, nonlinear optimization. Unlike local methods (e.g., quasi-Newton), global optimization methods aim at locating the absolute minimum of a function, not the nearest stationary point. GANSO toolbox provides an interface for calling GANSO... Platforms: Matlab

Deterministic unconstrained optimization method using Powell. Platforms: Matlab

Fiels from the webinar: Speeding up optimization problems with parallel computing Platforms: Matlab

This is a wrapper function to solve optimization problems (using FMINCON) of the form:min w.r.t. X of CostFunc(X) = beta*(W_ls*F(X)) + (1 - beta)*(max(W_mm*F(X)))subject to: A*X Platforms: Matlab

This book starts with a review of parameter optimization and then treats dynamic optimization, first with fixed final time and no constraints, next with terminal contraints, and finally with terminal constraints and open final time. This is followed by chapters on linear-quadratic problems and... Platforms: Matlab

SNTO is a global optimization method where many points are generated in a multi-dimensional domain; the optimum point is selected and the domain is contracted around the neighborhood of the optimum. See for example: Number-Theoretic Methods in Statistics By K?ai-t?ai Fang, Yuan Wang Platforms: Matlab

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) Platforms: Matlab

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.... Platforms: Matlab

uSoft Solutions is a custom software developing company since 2006 with great experience and knowledge in the field of computer science and in business. we guarantee no cost overruns, which would not be the case with an internal team or other companies. Tell us your needs and we take care of... Platforms: Windows, Windows 7, Windows Server

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