Freight Optimization

[FMAX,X] = KP01(W,P,C) solves the combinatorial optimization problem maximize F = SUM(P.*X), subject to SUM(W.*X)

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...

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

A 4 DOF arm based on the Motoman IA20 was built in AutoDesk Inventor. SimMechanics is used to generate a Simulink model. This model generates the dynamics for the robot implicitly, so there is no need to solve the equations of motion by hand. The dynamics are used by an control optimization...


Platforms: Matlab

The APMonitor Modeling Language is optimization software for differential and algebraic equations. It is coupled with large-scale nonlinear programming solvers for data reconciliation, real-time optimization, dynamic simulation, and nonlinear predictive control. It is available as a free web...


Platforms: Windows

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

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

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

Analytical Target Cascading (ATC) is a method for solving large-scale distributed optimization problems. It can be applied to multidisciplinary design optimization (MDO) problems. A very simple example problem was chosen so that the ATC solution process could be illustrated without requiring much...


Platforms: Matlab

This package includes files for modelling nonlinear dynamic systems using a recurrent generalized neural network. The learning scheme uses the complex method of nonlinear nonderivative optimization, thereby avoiding the problems of computing the derivative of an infinite impulse response filter...


Platforms: Matlab

This function is a simple but flexible and usefull tool to implement genetic optimization algorithms that work with populations of custom units. This tool allows to customize the fitness function, the stopping criteria and the cross-over and mutation operators. This is a simple tool, written in...


Platforms: Matlab

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

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

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

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

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

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

Suspended and inverted pendulums were built in AutoDesk Inventor. SimMechanics is used to generate a Simulink model. This model generates the dynamics implicitly, so there is no need to solve the equations of motion by hand. The dynamics are used by control optimization software: DIDO, available...


Platforms: Matlab

mplements the following optimization methods which do not use the gradient of the problem being optimized:* Particle Swarm Optimization (see http://en.wikipedia.org/wiki/Particle_swarm_optimization)* Differential Evolution (see http://en.wikipedia.org/wiki/Differential_evolution)* Pattern Search...


Platforms: Matlab

This interface accompanies a paper presented at the Conference of Optimization in the United Arab Emirates on Feb. 2, 2005.The GUI is an interface to a collection of functions which perform all the operations discussed in the paper.


Platforms: Matlab