Contents
Multiobjective Genetic Algorithm Example
Copyright (c) 2010, The MathWorks, Inc.
All rights reserved.
clear all, close all, clc
Objective function
type kursaweFcn
function f = kursaweFcn(x)
% Kursawe Pareto front test problem
% Copyright (c) 2010, The MathWorks, Inc.
% All rights reserved.
% parameters
a = 0.8;
b = 3;
n = length(x);
% function 1
i = 1:n-1;
f(1) = sum(-10*exp(-0.2*sqrt(x(i).^2+x(i+1).^2)));
% function 2
i = 1:n;
f(2) = sum(abs(x(i)).^a+5*sin(x(i).^b));
Run GA
options = gaoptimset('PopulationSize', 100,...
'ParetoFraction',1,'PlotFcn',@gaplotpareto);
[x f] = gamultiobj(@kursaweFcn,3,[],[],[],[],[],[],options);
Optimization terminated: average change in the spread of Pareto solutions less than options.TolFun.
