Determination of the minimum distance between two SuperEllipsoids surfaces. Using Optimization by Ricardo Portal

Optimization method to determine the minimum distance (or max overlap) between two SuperEllipsoids? (contact detection, collision detection, proximity query)

MAIN

hn=arrow3(p1,p2,s,w,h,ip,alpha,beta)

plotfval(x,optimValues,state)

Linear regression for multiple category data with different slopes for each by Soumya Banerjee

The function does OLS and RMA regression on data that is categorized into two different categories (communications, optimization, aerospace)

regress_plot_twocategories_allslope

DirLOT Toolbox by Shogo Muramatsu

MATLAB class definitions for directional lapped orthogonal transforms (boundary operation, system object, genlot)

Quick Start of DirLOT Toolbox

...

...

LBFGSB (L-BFGS-B) mex wrapper by Stephen Becker

Mex wrapper for lbfgsb v3.0 fortan library. L-bfgs-b solves box-constrained optimization. (optimization, constrained optimizat..., quasinewton)

Non-negative least-squares (NNLS) using L-BFBS-B

compile_mex

lbfgsb

Optimal Inverse Function Creation by Alan Jennings

Creates continuous, optimal inverse-functions: given a desired output, finds the optimal input (inverse, optimization, multidimensional)

InvFun_Test

InvFuntions=InvFun(Pop_I,ProbStrut)

Optimal Control Using Control Vector Parameterization by Chang Duan

An example of using control vector parameterization to solve an optimal control problem (optimal control, direct sequential met..., control vector parame...)

Optimal Control Using Control Vector Parameterization

[topt,xopt,uopt,thetaopt]=plotopt1( x0,N,ts,dvarO,beta,rho,...

[topt,xopt,uopt,thetaopt]=plotopt2( x0,N,ts,dvarO,beta,rho,...

Linear regression with statistics for multiple category data by Soumya Banerjee

This function does linear regression with statistics for multiple category data (OLS and RMA) (aerospace, automotive, biotech)

regress_plot_twocategories

Image reconstruction by Hanan Kavitz

The purpose of this demo is to reconstruct a simple picture of several polygons. (image processing, image reconstruction, global optimization)

imageBuilding

[state,options,optchanged]=drawBestSolution(options,state,~...

mygaplotbestf(options,state,flag)

Inverse Optimal Functions for Motoman HP-3 Tip Precision by Alan Jennings

A population based optimization increases pointing precision for a planar robotic arm. (robotics, inverse, inverse kinematics)

PSO_Function_ArmijoRobot_3

PointCluster2Angles_HP5_3

Clusters=ClusterGenerate_4(TestPoint,J,J_Grad,Y_Grad,Option...

A Graphical User Interface for Solving Delay Differential Equations and doing Local Search by Soumya Banerjee

A GUI for solving a set of delay differential equations (DDEs) and local search for best solutions (biotech, statistics, data import)

odesolver_outline

...

dde_auto_fit

Monte Carlo Markov Chain for inferring parameters for an Ordinary Differential Equation model by Soumya Banerjee

This function uses a Monte Carlo Markov Chain algorithm to infer parameters for an ODE model (biotech, data export, data import)

mcmc_ode

analyze_mcmc(parallel)

test_gamma()

Free Split and Merge Expectation Maximization for MultiVariate Gaussian Mixture by Sebastien PARIS

FSMEM can estimate MVGM parameters and number of conpounds via split/merge cluster moves (split and merge, clustering, signal processing)

test_fsmem_mvgm

gene_mvgm(d , K , sig)

init_mvgm(Z , K)

fminsearchbnd, fminsearchcon by John D'Errico

Bound constrained optimization using fminsearch (bound constrained, fminsearch, constraint)

fminsearchbnd_demo

fminsearchcon_demo

[x,fval,exitflag,output]=fminsearchcon(fun,x0,LB,UB,A,b,non...

Sphere Fit (least squared) by Alan Jennings

Fits a sphere to a set of noisy data. Does not require a wide arc or many points. (least squares, sphere, fitting curves)

sphereFit_Example

sphereFit(X)

Multiclass GentleAdaboosting by Sebastien PARIS

A fast Gentle Adaboost classifier with two kind of weaklearners (i tired to run mexme_..., howver, mathematics)

test_gentleboost_model

auroc(tp, fp)

basicroc.m

dijsktra path finder by Sebastien PARIS

Mex implementation of the dijkstra algorithm (dijsktra, adjacency matrix, optimization)

test_dijkstra

mexme_dijkstra.m

MPC Tutorial IV - State Space MPC with input increment by Yi Cao

functions and simulink block implement state space MPC using input increment (control design, optimization, simulink)

State Space MPC with input increment Tutorial

mpcsimulink

f=mpcsetup(A,B,C,D,hP,hM,Q,R,x0,u0)

Optimization Tips and Tricks by John D'Errico

Tips and tricks for use of the optimization toolbox, linear and nonlinear regression. (confidence intervals, examples, tutorial)

optimtips

[x,fval,exitflag,output]=fminsearchbnd(fun,x0,LB,UB,options...

consolidator(x,y,aggregation_mode,tol)

AdvCurveFit by Robert Bemis

Solve complex curve fit problem with parameter pooling & stratification by nonlinear least-squares. (optimization, curve, fitting)

Adventures in curve fitting

PkBgErr(x,y,pk,bg)

[x,y]=limits(a)

Speeding Up Optimization Problems with Parallel Computing by Stuart Kozola

Files from the webinar: Speeding up optimization problems with parallel computing (aerospace, automotive, demo)

Electron Problem Optimization

First Order Reliability Method using a Simulink Flutter Mod...

computebestportfolioPCT(expRet,expCov,portSize,targetRet)

Gradient from Neural Network by Alan Jennings

Function that takes a NN and creates a new NN that gives the gradient. (neural networks, function, gradient)

NN_DerivativeValidate

NN_GradientFunction(net)

Global Optimization with MATLAB by Stuart Kozola

Demo files from the 2010 webinar "Global Optimization with MATLAB Products" (direct search, genetic algorithm, global optimization)

Global Minimization of 1D Equation

Springboard for Global Optimization Demos

PlotIterates(x,optimValues,state)

Automated Failure Boundary Mapping by Stuart Kozola

Demo files from July 21, 2009 webinar (statistics, optimization, clustering)

Failure Boundary Identification

Flutter Model Demo

boundaryArea(Y,X,lb,ub,limitFunction)

optimize by Rody Oldenhuis

optimize (non)linear (in)equality constrained functions with FMINSEARCH (optimization, derivativefree optimi..., constrained optimizat...)

testoptimize

...

NSGA - II: A multi-objective optimization algorithm by Aravind Seshadri

A function for multi-objective optimization using evolutionary algorithms (genetic algorithm, multiobjective optimi..., nsga ii)

evaluate_objective

function [number_of_objectives, number_of_decision_variable...

function f = genetic_operator(parent_chromosome, M, V, mu,...

Multi-Objective Optimizaion using Evolutionary Algorithm by Aravind Seshadri

Examples of Multi-Objective Optimization using evolutionary algorithm - NSGA-II (multiobjective optimi..., genetic algorithm, optimization)

Main Function

Non-Donimation Sort

function f = genetic_operator(parent_chromosome,pro,mu,mum...

Tips & Tricks: Getting started using optimization with MATLAB by Stuart Kozola

Demo files from the August 21, 2008 Webinar (optimization, simulated annealing, nonlinear optimizatio...)

Optimization Tips Tricks

VEMap(x,RPM,Pratio,VE)

VEPlot(x,optimValues,state)

Programa para la resolución del Problema de Transporte Método de la Esquina Noroeste by Guillermo Montoya

Esquina Noroeste Problema de Transporte (esquina noroeste prob..., optimization)

Programa para la resolucin del Problema de Transporte de PL

agregar.m

balancear.m

Nonlinear fitting n-dimensional data with arbitrary functions by Jan

Demonstrates the abilities of Matlab functions lsqcurvefit, fmincon and fminsearch to fit complex mo (optimization, ndimensional data, nd)

fit_func

fit_nl

fit_nl_ex

Tunning of PID controller using Bacterial Foraging Orientec by Particle swarm optimization by wael korani

tuning the PID controller to get minimum error (bacterial foraging, control, optimization)

Tunning of PID controller using Bacterial Foraging Orientec...

tracklsq(pid)

optsim1

PID tuning controller by Bacterial foraging by wael korani

tuning the PID controller to get minimum error (optimization, pid tuning controller, bacterial foraging)

Tunning of PID controller using Bacterial foraging

tracklsq(pid)

optsim1

Tunning of PID controller using Particle Swarm Optimization by wael korani

tunining of PID controller by using PSO (control systems, particle swarm, pid)

Tunning of PID controller using Particle Swarm Optimization

tracklsq(pid)

optsim1

Bacterial Foraging by wael korani

Bacterial foraing is used to find optimal solution (bacterial foraging, optimization, control system)

Bacterial foraging

fposition=Live_fn(x)

Pareto Front Using Fitness Sharing by Wesam Elshamy

Finding the Pareto front of a simple problem using Genetic Algorithms with fitness sharing (ga, genetic algorithms, optimization)

Simple EMOO application (finding the Pareto front)

gaevolve by Gabriele Lombardi

A simple but flexible tool to implement genetic algorithms (optimization, genetic algorithms, ga)

Genetic Algorithms

SCrossBits(num1,num2)

SDisp(sol,fit,pop,fits)

Genetic Algorithms Application by Wesam Elshamy

Drawing the largest circle in a space of stars without enclosing any of them using Genetic Algorithm (applications, ga, genetic algorithms)

Simple EMOO Problem

Particle Swarm Optimization Simulation by Wesam Elshamy

an animated simulation of particles searching for the minima of a simple function (pso, particle swarm optimi..., optimization)

Particle Swarm Optimization Simulation