Genetic Algorithm to Optimise Schaffer's F6 Function by Dean Kayton

A basic GA with a real-time plotting of evaluation funtion inputs and outputs (ga, f6, genetic algorithm)

[chromoChild]=f6Seed(popSize,method)

[fitness,sel]=f6FitSel(f6EvalFun,popSize)

dec2gc(dec,N)

London Kings Cross Western Concourse Genetic Algorithm by Dean Kayton

A simple genetic algorithm is applied to a model of the London Kings Cross Western Concourse. (genetic algorithm, kings cross, concourse)

D=MSAdata(x,y,z,nodNo,memSel,radSel,dim_prop_rhs,dim_prop_c...

[Qcell,Vcell,Rcell]=MSA(D,popSize)

[chromoChild]=seed(popSize,method)

Calculating Minimun value on Function Genetic Algorithms by Daniel

Calculus of function min value (optimization, genetic algorithm, mathematics)

Solo_F1.m

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)

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)

Open Genetic Algorithm Toolbox by Alan de Freitas

This is a toolbox to run a GA on any problem you want to model. (multiobjective optimi..., collaborative genetic..., open genetic algorith...)

GA( problem, settings, population )

GA_gui(varargin)

adaptation_individual( population, ~, settings)

Machine learning - balancing a stack of balls by Peter Bone

A genetic algorithm is used to train a neural network controller to balance a stack of balls. (neural network, machine learning, genetic algorithm)

LCP(M,q,l,u,x0,display)

MLPControl(u,NN)

crossover(gene1,gene2)

Genetic Algorithm for n-queen problem by Swapnil Marathe

N-queen generalized genetic algorithm. Parameters can be changed and tested (n queen problem, 8 queen problem, genetic)

n_queen_problem_genetic_algo_display.m

n_queen_problem_genetic_algo_without_display.m

Optimal Component Selection Using the Mixed-Integer Genetic Algorithm by Seth DeLand

Use the mixed-integer genetic algorithm to solve an engineering design problem. (genetic algorithm, mixed integer, optimization)

ThOptimPlot(options,state,flag,Tdata,VData,Res,ThVal,ThBeta...

objectiveFunction(x,StdRes, StdTherm_Val, StdTherm_Beta,Tda...

tempCompCurve(x,Tdata)

Knapsack problem by Hanan Kavitz

A well known combinatorial problem (knapsack problem, optimization, linear programming)

knapsackGA

gapolyfitn by Richard Crozier

optimises the functional form of a multi-dimensional polynomial fit to model data (optimization, linear regression, modelling)

GenerateNewTerm(vars, maxPower, poly, maxLoops)

HasTerm(p1, p2, newTerm, vars)

PolyFitScore(polyVec, polyStruct)

Reproduction Operator: Roulette wheel selection by Saurav Nandi

Roulette wheel operator is a commonly used reproduction operator. (roulette wheel, matlab, population selection)

GA_Roulette_Wheel_Selection.m

Traveling Salesman Problem - Genetic Algorithm by Joseph Kirk

Finds a near-optimal solution to a TSP using a GA (optimization, genetic algorithm, tsp)

tsp_ga(xy,dmat,popSize,numIter,showProg,showResult)

Open Traveling Salesman Problem - Genetic Algorithm by Joseph Kirk

Finds a near-optimal solution to a "open" variation of the TSP using a GA (optimization, traveling salesman pr..., open variation)

tspo_ga(xy,dmat,popSize,numIter,showProg,showResult)

Multiple Traveling Salesmen Problem - Genetic Algorithm by Joseph Kirk

Finds a near-optimal solution to a M-TSP using a GA (multiple traveling sa..., genetic algorithm, tsp)

mtsp_ga(xy,dmat,nSalesmen,minTour,popSize,numIter,showProg,...

NGPM -- A NSGA-II Program in Matlab v1.4 by Song Lin

NSGA-II and R-NSGA-II in Matlab (multiobjective, genetic algorithm, nsgaii)

TPR_DTLZ2_objfun_10obj(x)

TPR_DTLZ2_objfun_3obj(x)

TPR_DTLZ2_objfun_5obj(x)

Travelling salesman problem with Genetic algorithm by Maxim Vedenyov

GUI and no GUI versions, with description in docx file (evolution, ga, genetic algorithm)

gch=insert_begining_slow(g1,g2,cp)

gch=insert_begining_slow(g1,g2,cp)

ii=roulette_wheel_indexes(m,prn)

MDMTSPV_GA - Multiple Depot Multiple Traveling Salesmen Problem solved by Genetic Algorithm by Elad Kivelevitch

Genetic Algorithm Solution to the Multiple Depots, MTSP, with Variable number of salesmen (multiple traveling sa..., mtsp, genetic algorithm)

mdmtspv_ga(xy,max_salesmen,depots,CostType,min_tour,pop_siz...

2d bin packing problem with genetic algorithm by Maxim Vedenyov

With mutations, crossover, ect. With animation (bin packing problem, genetic algorithm, mutation)

ii=roulette_wheel_indexes(m,prn)

ga_2d_box_packing.m

ga_2d_box_packing_movie.m

Truss Solver and Genetic Algorithm Optimzer by spencer

Solver uses a Direct Stiffness Method. GA modifies X,Y,Z coordinates of nodes and areas of elements. (truss, direct stiffness meth..., truss structure)

EvolveGui

Evolve_JustaLine(Psize,N,rate,F,plotornot)

Evolve_SimpleBridge(Psize,N,rate,F,plotornot)

Camouflage evolution simulation with Genetic algorithm by Maxim Vedenyov

4x4 images dissapear on background. (camouflage, evolution, simulation)

ii=roulette_wheel_indexes(m,prn)

camouflage_ga.m

camouflage_ga_avi.m

TurboGA: A Simple Genetic Algorithm With a Powerful Performance Enhancing Tweak by Keki Burjorjee

A simple genetic algorithm with a tweak, called clamping, that should improve performance (combinatorial optimiz..., genetic algorithm, optimization)

fitness=R1(pop)

fitness=oneMax(pop)

turboGA.m

SpeedyGA: A Fast Simple Genetic Algorithm by Keki Burjorjee

A vectorized implementation of a simple genetic algorithm in Matlab (evolutionary algorith..., genetic algorithm, combinatorial optimiz...)

fitness=R1(pop)

fitness=oneMax(pop)

speedyGA.m

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)

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)

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)

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...

Developing a Financial Market Index Tracker using MATLAB OOP and Genetic Algorithms by Mark Hoyle

Files used in the webinar of the same name (finance, modeling, analysis)

CreateIndex(NumDays,NumStocks,TotalNumStocks,L,K,s,t)

GetGAData(Wts,Stocks,Dates,StartDate)

InitialiseSession

Imperialist Competitive Algorithm (ICA) by Esmaeil Atashpaz Gargari

The code of recently introduced optimization strategy, Imperialist Competitive Algorithm (ICA). (mathematics, optimization, alogrithms)

AssimilateColonies(TheEmpire,AlgorithmParams,ProblemParams)

CreateInitialEmpires(InitialCountries,InitialCost,Algorithm...

DisplayEmpires(Empires,AlgorithmParams,ProblemParams,Displa...

Genetic Algorithm Solution to Economic Dispatch by Saloman Danaraj

This program solves the economic dispatch problam using MATLAB genetic algorithm toolbox (optimization, genetic algorithm, econmoic dispatch)

eldga.m

eldga1.m

gatest.m

Straight-line fitting genetic algorithm by Evaristo Rojas Mayoral

It uses a genetic algorithm for straight-line fitting. (fitting, genetic algorithm, straightline)

ag_recta(x,y)

Genetic Algorithm by Djaghloul Mehdi

Multimodal Function Optimisation (ga, function, genetic algorithm)

Fit_fun_val=fit_fun(v)

[w]=JGAopt(w0,pop_size,Kga_fin,Max_error)

Genetic Algorithm by MEKHMOUKH Abdenour

Genetic Algorithm (approximate solutions, search technique, ga)

application(varargin)

demarrerapplication(varargin)

fonction.m

Global maximum point for 3D surface using GA by Ali Talib Oudah

Finding the global maximum height for 3D multiple peak surface using genetic algorithm (3d, genetic algorithm, ga)

d=mutate(offs,mutprop)%uniform mutation.

multipeak(pop)

off=cross(parent,croprop)% arithmatic crossover

MathWorks Webinar: Using Genetic Algorithms in Financial Applications by Oren Rosen

Presentation and M-Files for MathWorks Webinar (cardinality constra, analysis, finance)

ComputeBestPortfolio(expRet,expCov,portSize,targetRet)

ComputeHistoricalStats(prices)

FindTarget(target)

Model Determination using Genetic Algorithm: Forst-Kalkwarf-Thodos Model by Housam Binous

computes four parameters of Forst-Kalkwarf-Thodos Model (chemistry, physics, gatool)

binous2

f=FKTeq(ps,T)

f=FKTeq2(ps,T)

Dynamic and control of tank’s height using genetic algorithm toolbox and fminsearch by Housam Binous

computes dynamic behaviour and controls tank’s height (chemistry, physics, genetic algorithm)

binousga2

f=obj(par)

f=obj2(par)

Model Determination using Genetic Algorithm: Application to Vapour Pressure vs Temperature Equations by Housam Binous

Model determination using the genetic algorithm (chemistry, physics, gatool)

binous

binous2

f=Mantoine(T)

Genetic Algorithm Performance by Javad Ivakpour

Find the maximum with GA and show that how it is happened (for constrained and unconstrained problem (optimization, genetic algorithm, ga)

GA

GAconstrain

plot00(cx)

Stochastic Search and Optimization by James Spall

Code in support of book Introduction to Stochastic Search and Optimization. (mathematics, stochastic optimizati..., genetic algorithm)

y=bit2num(th_bit,b,thetmin,thetmax)

y=fitpop(thetabit,bits,loss)

y=num2bit(th_element,b,thetmin,thetmax)

Optimal Distribution Substations Placement using Genetic Algorithm by Amir Pouya Khansaryan

Finds the optimal location and capacity of distribution substations (optimization, genetic algorithm, distribution)

DSP(varargin)

FValue=SP_tlosscost1(InValue)

FValue=SP_tlosscost1(InValue)

New Approaches to Constrained Optimization in MATLAB by Rakesh Kumar

M-files accompanying the webinar held on November 05, 2005 (direct search, pattern search, genetic algorithm)

nonSmoothFcn(x)

showNonSmoothFcn(fcn,range)

springConstraints(x,Fo,Fc,delta,G,Nf,a,rho)

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)

Sequency(Walsh) ordered Hadamard matrix by Gylson Thomas

The function generates the sequency (Walsh) ordered Hadamard matrix. (application, hadamard matrix, sequency)

mtxseq(N);

Optimization with MATLAB and the Genetic Algorithm and Direct Search Toolbox by Rakesh Kumar

M-files used in the webinar held on September 16, 2004. (genetic algorithm, direct search, optimization)

fminuncOut(x,optimvalues, state)

fminuncOut1(X, optimvalues, state)

gaplotbestfun(options,state,flag)