Another Particle Swarm Toolbox by Sam

Implementation of a PSO algorithm with the same syntax as the Genetic Algorithm Toolbox. (global optimization, particle swarm, pso)

...

...

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Stochastic Radial Basis Function Algorithm for Global Optimization by Julie

Solves computationally expensive black-box global optimization problems with box constraints (global optimization, radial basis function, blackbox)

ComputeRBF(CandPoint,Data)

Data=datainput_Schoen_10_4_3

Data=datainput_Schoen_17_2_5

Genetic Packman by Hanan Kavitz

A simple demonstration of Genetic Algorithm using all times favorite game. (optimization, global optimization, genetic algorithm)

[x,fval,exitFlag]=geneticPackman(cubeSize,numOfMoves,packma...

mutate_permutation(parents ,options,NVARS, ...

val=greedyPackman(field,numOfSteps)

Files for the 2012 Webinar "Tips and Tricks - Getting Started Using Optimization with MATLAB" by Seth DeLand

These are the files that were used for the demonstrations in the webinar. (fmincon, gradient, patternsearch)

RunThermistorExample()

ThOptimPlotCircuit(options,state,flag,Tdata,VData,Res,ThVal...

VEMap(x)

Basic Genetic Algorithm by Xavier Blasco

An easy to use Genetic Algorithm (genetic algorithm cpo..., cpoh, genetic algorithm)

gaiteracion(gaDat)

garesults(gaDat)

valor=objfun_schwefel_p(x,param)

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)

Surrogate Model Optimization Toolbox by Julie

Surrogate model optimization algorithm for computationally expensive global optimization problems (global optimization, surrogate model, derivativefree)

BumpinessMinSampling(Data, maxeval, Surrogate, lambda, gamm...

CandValue=PredictFunctionValues(Data,Surrogate,CandPoint,la...

CandidatePointSampling(Data,maxeval,Surrogate,lambda,gamma,...

Fast Adaptive Coordinate Descent for Non-linear Optimization by Ilya

Fast Adaptive Coordinate Descent for Large- scale (D>>100) Non-linear Optimization (optimization, global optimization, principal component a...)

ACD(strfitnessfct,N,X_a,X_b,MAX_EVAL,stopfitness,howOftenUp...

f=cigar(x, ar)

f=fcigtab(x)

Demo: Finding an Optimal Path Using MATLAB and Optimization Toolbox by Teja Muppirala

Solve the path planning problem of going through a vector field of wind in the least possible time. (path planning, flight path, gui)

PathOptimizationDemo.m

WayPoints_To_Path(p,METHOD,sizeX,sizeY,fineness)

calculateTimeIntermediate(x,W_x,W_y,x0,y0,AirSpeed,sizeX,si...

Evolution Strategies (ES) by Gilberto Alejandro Ortiz Garcia

Algorithm that implements 'Evolution Strategies' (ES) ('mu-lambda' and 'mu+lambda' variants). (optimization, evolution strategies, genetic algorithms)

evolution_strategy(f, mu, lambda, gen, sel, rec_obj, rec_st...

mutation(n,lambda,xr,sigmar,alphar,limits)

recombination(type_obj,type_str,n,mu,lambda,xi,sigma,alpha)

Implementation of the Horst algorithm for difference convex programming by Kammoun

We implement the Horst algorithm for difference convex programming. (global optimization, difference of convex ...)

global_optimum_difference_convex.m

test_global_optimization_horst.m

test_global_optimization_horst_2.m

OptimPID: an optimal PID controller design interface by Dingyu Xue

OptimPID is a MATLAB based interface and it can be used to optimize PID parameters (pid controller, optimum pid, optimal control)

multi_step.m

optimpid(varargin)

mod_1R2009b

Auto Gaussian & Gabor fits by Patrick Mineault

Fit 1D/2D Gaussian or Gabor to a curve/surface without start guesses for params (gaussian, curve fit, global optimization)

autoGaborSurf(xi,yi,zi,opts)

autoGaussianCurve(xi,zi,opts)

autoGaussianSurf(xi,yi,zi,opts)

A simple implementation of Differential Evolution by Srinvas Laxminarayan

This m-file is a simple implementation of the Differential evolution global search algorithm. (global optimization)

px=differentialEvolution(fitFunc,L,H,varargin)

GlobalMIT toolbox by Xuan Vinh Nguyen

Learning Globally Optimal Dynamic Bayesian Network with the Mutual Information Test (MIT) Criterion (bayesian network, global optimization, structure learning)

Particle Swarm Optimization, Differential Evolution by Magnus

Particle Swarm Optimization, Differential Evolution, good parameters, and more. (global optimization, differential evolutio..., direct search)

ackley(x, data)

ackleydata(dim, maxEvaluations)

benchmarkdata(dim, ...

Mathematical Modeling with MATLAB Products - webinar demo files by Dan Doherty

Demo files from March 10, 2011 webinar titled 'Mathematical Modeling with MATLAB Products' (surface fitting, global optimization, mupad)

animateCrane(sol)

combinedEffect(x, y, IC50A, IC50B, alpha, n)

createSurfaceFit(opioid, sedative, tetany)

Traditionalized Ackley by George Evers

Implements the traditional benchmark formulation used in optimization literature (ackleyfcn, ackleyfcnm, ackley)

ackleyfcn(x)

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)

Many testfunctions for global optimizers by Rody Oldenhuis

test functions for global optimizers (genetic algorithm, test function, global optimization)

ackley(X)

beale(X)

bird(X)

Bidirectional Branch and Bound Solvers for Worst Case Loss Minimization by Yi Cao

Two branch and bound solvers using worst case loss criterion to select controlled variables. (branch and bound, eighenvalue, optimization)

[B,sset,ops,ctime,flag]=b3wc(G1,Gd1,Wd,Wn,Juu,Jud,tlimit,nc...

[B,sset,ops,ctime,flag]=pb3wc(G1,Gd1,Wd,Wn,Juu,Jud,n,tlimit...

[G1,Gd1,Wd,Wn,Juu,Jud]=randcase(ny,nu,nd)

INTSOLVER: An interval based solver for Global Optimization by Tiago Montanher

Interval based functions to solve small global optimization problems with guaranteed bounds. (problem with solution..., interval analysis, global optimization)

evallag (f, c, x, lambda)

evbranin(x)

evbrown(x)

GODLIKE - A robust single-& multi-objective optimizer by Rody Oldenhuis

GODLIKE combines 4 global optimizers for both single/multi-objective optimizations (optimization, genetic algorithm, classes)

GODLIKE(funfcn, popsize, lb, ub, varargin)

GODLIKE_DEMO

set_options(varargin)

Global Optimization on R by alain barraud

globalmin finds the global minimum of a function f(x) of a real variable x in a given interval. (optimization, global optimization, guaranteed precision)

[x,y,fcount]=globalmin(f,a,b,x0,m,e,t,varargin)

maxifigure(hf,offset)

testglobmin

Global Optimization on R. by alain barraud

globalmin finds the global minimum of a function f(x) of a real variable x in a given interval. (optimization, global optimization, guranteed precision)

Sequential Number Theoretic Optimization Package by Prakash Manandhar

Many parameter global optimization using SNTO method (hammersley, number theoretic, global optimization)

Global and Non-smooth optimization toolbox by Gleb Beliakov

Matlab interface to GANSO library (optimization, global optimization, operations research)

bracken(x)

rastrigin(x)

example1.m

Swarm Optimization by Giovani Tonel

Swarm Optimization for Global Optimization (algorithm, global optimization, swarm optimization)

[xo,Ot,nS]=swarm(S,x0,ip,isb,Lb,Ub,R,nger,npas,problem,c1,c...

fgridmin.m by Kenneth Johnson

global minimization utility (optimization, global optimization, utility)

fgridmin(y)

Shuffled Complex Evolution (SCE-UA) Method by Qingyun Duan

An efficient and robuse global optimization method. (genetic algorithm, global optimization, sce)

[snew,fnew,icall]=cceua(s,sf,bl,bu,icall,maxn)

f=functn(nopt,x)

f=functn(nopt,x)

GloptiPoly by Didier Henrion

MATLAB/SeDuMi add-on to build and solve convex LMI relaxations of non-convex global optimization. (optimization, polynomials, global optimization)

gloptipoly(P,order,pars)