Constrained Optimization Wikipedia

M-files accompanying the webinar titled "New Approaches to Constrained Optimization in MATLAB" held on November 05, 2005These files provide what you need to run the two demos:1) The first demo is a demonstration of bound constrained optimization of non-smooth objective function using GA and also...

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.

ASA solves bound constrained problems; the user provides routines to calculate the function and gradASA (Active-Set Algorithm) is a bound constrained optimization program developed W. W. Hager and H. Zhang. In recent academic tests (e.g. "Evaluating bound-constrained minimization software" by E....


Platforms: Matlab

Firefly algorithm for nonlinear constrained optimization


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

Linear programming environment that incorporates large-scale linear programs solver and easy, intuitive graphical user interface to specify, import and solve any type of constrained optimization problems arising in various industrial, financial and educational areas. Optimization problems are...


Platforms: Windows

Powerful tool for nonlinear constrained optimization.You have an object, which should be improved by optimum coordination of several parameters, and its mathematical model, computing efficiency index depending on these parameters. Using IOSO NS GT, you can quickly and efficiently solve non-linear...


Platforms: Windows

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

NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: * Callable from C, C++, Fortran, GNU Octave,...


Platforms: *nix

DWSIM is a Chemical Process Simulator for Windows, Linux and Mac. Built for the Microsoft .NET 2.0 and Mono Platforms and featuring a rich Graphical User Interface (GUI), DWSIM allows chemical engineering students and chemical engineers to better understand the behavior of their chemical systems...


Platforms: Mac

This function was developed for nonparametric estimation problems where the estimate must satisfy some shape constraint. Our standard example of this is using a kernel density estimator, with the constraint that the estimate can have only one mode.Let x be the observed data, and confun(x,...) be...


Platforms: Matlab

The function performs a nonlinear, constrained optimization to find a positive semi-definite matrix that is closest (2-norm) to a symmetric matrix that is not positive semi-definite which the user provides to the function. The optimization is subject to the constraint that the output matrix'...


Platforms: Matlab

Equation fitting (kinetic constants and other parameter estimation): - Classical model - Klimpel model - Kelsall model - Modified Kelsall model - Gamma model - Fully mixed modelAlgorithm: - constrained optimization - unconstrained (Levenberg-Marquardt) algorithmSupport for: - saving data (xls,...


Platforms: Matlab

DWSIM is a Chemical Process Simulator for Windows, Linux and Mac. Built for the Microsoft .NET 2.0 and Mono Platforms and featuring a rich Graphical User Interface (GUI), DWSIM allows chemical engineering students and chemical engineers to better understand the behavior of their chemical systems...


Platforms: *nix

This code is a demo of using Genetic Algorithms (GA) to solve a simple constrained multi-objective optimization (MOO) problem.The objective is to find the pareto front of the MOO problem defined as follows: Maximize: f1(X) = 2*x1 + 3*x2 f2(X) = 2/x1 + 1/x2 such that: 10 > x1 > 20 20 > x2 > 30The...


Platforms: Matlab

New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems.Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to...


Platforms: Matlab

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


Platforms: Windows

The Portfolio Optimization model calculates the optimal capital weightings for a basket of investments that gives the highest return for the least risk. The unique design of the model enables it to be applied to either financial instrument or business portfolios. The ability to apply...


Platforms: Windows

The Portfolio Optimization template identifies the optimal capital weightings for a portfolio of financial investments that gives the desired risk and return profile based on the correlation between individual investments. The design of the portfolio optimization model enables it to be applied...


Platforms: Windows, Mac, Windows 8, Windows 7

Eclipse Wikipedia Editor Plugin is an Eclipse editor for the Wikipedia syntax. The project features syntax highlighting, source folding, outlining, uploading and downloading to and from the Web, and more. Whats New in This Release: - It is now possible to add an extra "domain" entry into the...


Platforms: *nix