Load Optimization

CubeMaster™ is a versatile, cost-effective software solution to optimize the cargo load on your trucks, air & sea containers and pallets quickly and efficiently. It reduces shipping and transport costs through intelligent loading and optimal space utilization. CubeMaster™ supports you in...

The Memory Optimization tool was developed to be a powerful but easy-to-use system application that can optimize your PC. Usage tab window of Memory Optimization lets you see the CPU memory and page file usage levels. Settings window of Memory Optimization will allow users to set the display mode...

PC Brother Memory Optimization is a powerful but easy-to-use system application that can optimize your PC, as well as show you the current system usage in both graph and by numbers. It can help your PC operate more efficiently and run faster. This totally free application is user friendly. To...


Platforms: Windows

Windows Media Load Simulator 9 Series was developed to be a small tool that simulates a real-world load on a server. The load-test results on the server can be viewed in a log. Windows Media Load Simulator is designed to run on one or more client computers to simulate a large number of client...


Platforms: Windows

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

The Radia Server load Monitor is a PHP based load engine and graphing library that generates load graphs of a given Radia Manager in realtime. Load information is harvested from the manager logs and plotted on a vertical graph.


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

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

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

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

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