Example_multiobjective_details

PURPOSE ^

% Multi-objective example (optiGTest class)

SYNOPSIS ^

This is a script file.

DESCRIPTION ^

% Multi-objective example (optiGTest class)
 L. LAURENT --  16/05/2018 -- luc.laurent@lecnam.net

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

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

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