Performance Optimization

Quick Performance Monitor is a simple and useful application that will help you monitor performance counters without using the full blown perfmon tool from Windows. Quick Performance Monitor supports a number of command line parameters and can be launched from batch files, shortcuts or preset... Platforms: Windows, Windows Vista, 7

High-performance Embedded Workshop, a powerful yet easy to use tool suite, features an industry standard user interface and is designed using a modular approach seamlessly incorporating device family-specific C/C++ compilers and the debugger elements for various debugging platforms including... Platforms: Windows, Windows Vista, 7

Performance Counter Helper makes it easier for developers to develop applications that use Performance Counter to monitor the health of the application. You will no longer have think how to log into Perfmon. It's developed in C#. Using this library will let you add some custom counters into... Platforms: Windows

The ManageEngine Free Azure Performance Monitor is a lightweight tool which helps system administrator, to view the performance of the Web and Worker Roles. This Tool makes connection with Windows Azure cloud environment and fetches performance metrics about Web/Worker Role instances and presents... Platforms: Windows

Performance monitoring via telnet and ftp script shows how to increase the performance for a data gathering shell script with telnetlib. Platforms: Windows, Mac, *nix, Python, BSD Solaris

This function decorates a function with tail call optimization. It does this by throwing an exception if it is it's own grandparent, and catching such exceptions to fake the tail call optimization. This function fails if the decorated function recurses in a non-tail contexif the de /> Platforms: Windows, Mac, *nix, Python, BSD Solaris

Current direct sequence code division multiple access (DS-CDMA) system suffer from Multiple access interference (MAI) and Inter symbol interference (ISI) due to the frequency selective channel. This interference can be avoided by use of Adaptive Beamforming. There are two different minimum... Platforms: Matlab

A few popular metaheuristic algorithms are included, such as the particle swarm optimization, firefly algorithm, harmony search and others. Platforms: Matlab

M-files accompanying the " Genetic Algorithms & New Optimization Methods in MATLAB " webinar.These files provide what you need to run the two demos: Optimization of non-smooth objective function, and Optimization of a random stochastic objective function.To run the first demo run the file... Platforms: Matlab

Particle swarm optimization is a technique used in many control systems application. Here i used the PSO in PID controller tuning Platforms: Matlab

An animated simulation of Particles in 2D searching for a global minima of a simple function using Particle Swarm Optimization algorithm Platforms: Matlab

The files in this folder solve the optimization case studies described in the paper "VaR vs CVaR in Risk Management and Optimization" by Sarykalin,S., Serraino,G., and Uryasev,S., in Tutorials in Operations Research, INFORMS 2008 (download www.ise.ufl.edu/uryasev/VaR_vs_CVaR_INFORMS.pdf... Platforms: Matlab

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 upload contains a hybrid Particle Swarm Optimization algorithm for functions in the real space. An options file is also provided, which lets the user fully parameterize the process. The hybrid function used is the @fminsearch, which is available on the MATLAB core. The PSO performs very well... 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

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