rastriginsfcn Minimization with Genetic Algorithm
Copyright (c) 2010, The MathWorks, Inc. All rights reserved.
Contents
Objective Function
We wish find the minimum of the rastriginsfcn function
clear all, close all, clc rastriginsfcnSurf

Use Genetic Algorithm to Find the Global Minimum
For illustration purposes, force GA to start in top right corner of contour plot by hard coding intitial condition of (5,5) for all points.
X0 = [5,5]; X0 = repmat(X0,100,1); % Add custom plot function, population size and population starting point % to options structure options = gaoptimset('PlotFcns',@rastriginsPlotIterates,... 'PopulationSize',100,... 'InitialPopulation',X0); % Solve using Genetic Algorithm [x fval flag] = ga(@rastriginsfcn, 2, [],[],[],[],[],[],[],options); hold on; % Plot final point in red plot(x(1),x(2),'MarkerSize',25,'Marker','*','Color',[1 0 0]); hold off;
Optimization terminated: average change in the fitness value less than options.TolFun.
