Freight Optimization

As more and more Web sites have become dynamically generated (with dynamic URL's), search engines have improved in order to crawl and index more of these dynamic sites. Search engines such as Google and Yahoo have been actively crawling and indexing dynamic URL's, such as those found with...

The function tep_get_category_tree is the one that creates the contents of the drop-down menu (the one that starts with Top) in the top right corner of the categories.php page in the admin section. In the 2.2MS2 version of osCommerce it is very inefficient as relating to mySQL queries. It queries...

If you ever added Output Queries Debug (homepageto your site you will have noticed a number of very similar queries getting the parent_id of categories on index.php where you have subcategories showing (two for each subcategory).Half of them are the same. They are all queries originating from the...


Platforms: Windows, *nix, PHP, BSD

If you ever added Output Queries Debug (homepageto your site (and didn't do any caching) you will have noticed a sometimes substantial number of count queries like:select count(*) as count from categories where parent_id = '1'These are queries originating from the function...


Platforms: Windows, *nix, PHP, BSD

Usually, if the item is overweight or is to be shipped overseas, UPS and USPS modules won't work. This contribution is two modules in one.1) The first RFQ allows customers to select 'Request Quote'as a shipping method. By default, this is a $0.00 charge added to the price (You can add a quote...


Platforms: Windows, *nix, PHP, BSD

GODLIKE (Global Optimum Determination by Linking and Interchanging Kindred Evaluators) compiles various population-based global optimization schemes.It handles both single- and multi-objective optimization, simply by adding additional objective functions.It solves optimization problems using...


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

It also supports automatic scheduling of backup and optimization activities.InstallationUnpack and upload it to the /wp-content/plugins/ directory.Activate the plugin through the 'Plugins' menu in WordPress. Requirements: - WordPress 2.5.0 or higher


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

Gravitational search algorithm (GSA) is an optimization algorithm based on the law of gravity and mass interactions.This algorithm is based on the Newtonian gravity: "Every particle in the universe attracts every other particle with a force that is directly proportional to the product of their...


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

Robust Particle Swarm toolbox implementing Trelea, Common, and Clerc types along with an alpha version of change detection.This toolbox is designed for researchers in Computational Intelligence as well as application developers, students, and classroom labs. It is robust enough that several...


Platforms: Matlab

L-BFGS-B is a collection of Fortran 77 routines for solving nonlinear optimization problems with bound constraints on the variables. One of the key features of the nonlinear solver is that the Hessian is not needed. I've designed an interface to the L-BFGS-B solver so that it can be called like...


Platforms: Matlab

A .zip file contains a series of scripts that were used in the MathWorks webinar "Using MATLAB to Develop Portfolio Optimization Models." The scripts generate 3D efficient frontiers for a universe of 44 stocks with time as the third axis. Additional scripts perform various ex-ante and ex-post...


Platforms: Matlab

function [optN, C, N] = sshist(x,N) [optN, C, N] = sshist(x,N) Function `sshist' returns the optimal number of bins in a histogram used for density estimation. Optimization principle is to minimize expected L2 loss function between the histogram and an unknown underlying density function. An...


Platforms: Matlab

This algorithm deal with multimodal optimization problems under constraints.


Platforms: Matlab

Base paper detail : "Improved Particle Swarm Optimization Based Load Frequency Control In A Single Area Power System"Saumya Kr. Gautam, Nakul Goyal Department of Electrical Engineering, IT-BHUVaranasi,India."This my first model, implementing IPSO/ Other Algorithm i will publish soon"


Platforms: Matlab

Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.Please visit http://iew3.technion.ac.il/CE/ for more informationsi) Please compile mex-files by the mexme_ce_gauss.m (if compiler is not setup, run...


Platforms: Matlab

This program demonstrates the optimization by genetic algorithm to find the global maximum height for thee dimensional multiple peak surface. The GA operates by real coding method with elitism


Platforms: Matlab

Most PID tuning rules are based on first-order plus time delay assumption of the plant hence cannot ensure the best control performance. Using mordern optimization techniques, it is possible to tune a PID controller based on the actual transfer function of the plant to optimize the closed-loop...


Platforms: Matlab

The Kalman filter is actually a feedback approach to minimize the estimation error in terms of sum of square. This approach can be applied to general nonlinear optimization. This function shows a way using the extended Kalman filter to solve some unconstrained nonlinear optimization problems. Two...


Platforms: Matlab

The Kalman filter can be interpreted as a feedback approach to minimize the least equare error. It can be applied to solve a nonlinear least square optimization problem. This function provides a way using the unscented Kalman filter to solve nonlinear least square optimization problems. Three...


Platforms: Matlab