Constrained

Solve quadratically constrained overdetermined l1 minimization: min ||K * x - f||_1 s.t. ||y - x||_2 Platforms: Matlab

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

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

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... Platforms: Matlab

Protothreads are extremely lightweight stackless threads designed for severely memory constrained systems, such as small embedded systems or wireless sensor network nodes. Protothreads provide linear code execution for event-driven systems implemented in C. Protothreads project can be used with... Platforms: *nix

The script will retain an element in the center(horizontal) and/or middle(vertical) of the window while constrained within its parent element. Platforms: JavaScript

This package has solvers for constrained and unconstrained L1 minimization, which is useful for compressed sensing. u = COORDL1BREG(A,f,lambda) solves the minimization problem min_u ||u||_1 subject to A*u = fwhere A is an MxN matrix and f is a vector of length M. Input lambda is a positive... Platforms: Matlab

fminconset: Solves constrained minimization problems where someof the variables are restricted to discrete values. (Mixed IntegerNonlinear optimization). Based on fmincon from Optimization Toolboxversion 2.0. Platforms: Matlab

Firefly algorithm for nonlinear constrained optimization Platforms: Matlab

This function can find the maximum of constrained and unconstrained problems with using of genetic algorithm (real coding). Also the performance of GA is plotted vs. the number of generations (for 2D problems). Platforms: Matlab

4 files are included in the package:(1) fs01.m - the 1st-order local linear approximation (LLA) very similar to algorithm by Farmer and Sidorowich (1987). Uses constrained linear least squares (lsqlin) and(2) ts1.m - to reconstruct the vectors of the state space.(3) Example.m - runs fs01 and ts1... Platforms: Matlab

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

Virgil projetc is an new, object-oriented, light-weight programming language that is designed for building software for resource-constrained embedded systems at the lowest level. Microcontroller programmers can now develop complete software systems, including hardware drivers and OS services, in... Platforms: *nix

The software system solves constrained nonlinear parameter estimation problems. Synonyms are data fitting, nonlinear regression, parameter identification, curve and surface fitting. A statistical analysis provides confidence intervals, correlation and covariance matrices, identification of... Platforms: Windows

The software system allows to solve constrained nonlinear programming problems by an efficient sequential quadratic programming (SQP) method. A nonlinear objective function is to be minimized subject to nonlinear equality or inequality constraints. The numerical code is called NLPQL, which is... Platforms: Windows

Adobe Illustrator plugin to draw straight lines constrained to isometric angles. What's new in this version: # Updated for use with Adobe Illustrator CS2 Platforms: Adobe Illustrator CS2

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

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

This is a large set of test functions, which may be used to test the effectiveness of global optimization algorithms. Some are rather easy to optimize (rosenbruck, leon, ...), others next to impossible (crosslegtable, bukin6, ...).All the test-functions are taken from either [1], [2] or [3] (see... 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