% Multi-objective example (optiGTest class) L. LAURENT -- 16/05/2018 -- luc.laurent@lecnam.net
0001 %% Multi-objective example (optiGTest class) 0002 % L. LAURENT -- 16/05/2018 -- luc.laurent@lecnam.net 0003 0004 % sources available here: 0005 % https://bitbucket.org/luclaurent/optigtest/ 0006 % https://github.com/luclaurent/optigtest/ 0007 0008 % optiGTest - set of testing functions A toolbox to easy manipulate functions. 0009 % Copyright (C) 2018 Luc LAURENT <luc.laurent@lecnam.net> 0010 % 0011 % This program is free software: you can redistribute it and/or modify 0012 % it under the terms of the GNU General Public License as published by 0013 % the Free Software Foundation, either version 3 of the License, or 0014 % (at your option) any later version. 0015 % 0016 % This program is distributed in the hope that it will be useful, 0017 % but WITHOUT ANY WARRANTY; without even the implied warranty of 0018 % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 0019 % GNU General Public License for more details. 0020 % 0021 % You should have received a copy of the GNU General Public License 0022 % along with this program. If not, see <http://www.gnu.org/licenses/>. 0023 0024 %% load the function 0025 Fun=optiGTest('Poloni'); 0026 0027 %% Demo mode 0028 Fun.demo 0029 0030 %% available dimensions (Inf= function defined for any dimension) 0031 Fun.dimAvailable 0032 0033 0034 %% evaluation of the function (responses and gradients) 0035 nS=10^4; 0036 samples=rand(nS,2); 0037 X=repmat((Fun.xMax-Fun.xMin),nS,1).*samples+repmat(Fun.xMin,nS,1); 0038 % Z=responses, GZ=gradients (in cell) GZr=gradients (in array) 0039 [Z,GZ,GZr]=Fun.evalObj(X); 0040 Z 0041 GZ 0042 GZr 0043 0044 %% show Pareto 0045 Fun.showPareto; 0046