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Multi-criterial example for the Matlab interface

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Marcel Kronfeld
2011-02-16 12:47:15 +00:00
parent 749c75fe2a
commit 489e0a6f3f
4 changed files with 54 additions and 30 deletions
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60
resources/MatlabInterface/JEInterface-examples.m
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@@ -3,29 +3,37 @@
% URL: http://www.ra.cs.uni-tuebingen.de/software/EvA2/
% adapt the path settings!
addpath '/home/user/workspace/MatlabInterface' % .. directory containing @JEInterface
javaaddpath '/home/user/workspace/EvA2Base.jar' % .. the EvA2 base package
% addpath 'C:\Dokumente und Einstellungen\user\workspace\MatlabInterface' % Windows will look differently
% javaaddpath 'C:\Dokumente und Einstellungen\user\workspace\EvA2Base.jar' % Windows will look differently
% real valued case
R=[-5 -5 -5; 5 5 5];
JI=JEInterface(@testfun, 'double', R, R, 1, 'Display', 'iter', 'TolX', 0, 'TolFun', 0);
JI=optimize(JI, 4);
[sol, solFit]=getResult(JI);
finalPop=getMultipleResults(JI);
% binary case
R=20;
JI=JEInterface(@testfun, 'binary', R, R, 4, 'Display', 'iter');
JI=optimize(JI, 3);
[sol, fit]=getResult(JI);
finalPop=getMultipleResults(JI);
% integer case with specific initialization range
initR=[-15 -15 -15 -15 -15; -5 -5 -5 -5 -5];
R=[-15 -15 -15 -15 -15; 15 15 15 15 15];
JI=JEInterface(@testfun, 'int', R, initR, 5, 'Display', 'iter');
JI=optimize(JI, 3);
[sol, fit]=getResult(JI);
finalPop=getMultipleResults(JI);
addpath '/home/user/workspace/MatlabInterface' % .. directory containing @JEInterface
javaaddpath '/home/user/workspace/EvA2Base.jar' % .. the EvA2 base package
% addpath 'C:\Dokumente und Einstellungen\user\workspace\MatlabInterface' % Windows will look differently
% javaaddpath 'C:\Dokumente und Einstellungen\user\workspace\EvA2Base.jar' % Windows will look differently
% real valued case
R=[-5 -5 -5; 5 5 5];
JI=JEInterface(@testfun, 'double', R, R, 1, 'Display', 'iter', 'TolX', 0, 'TolFun', 0);
JI=optimize(JI, 4);
[sol, solFit]=getResult(JI);
finalPop=getMultipleResults(JI);
% binary case
R=30;
JI=JEInterface(@testfun, 'binary', R, R, 4, 'Display', 'iter');
JI=setOutputAllStatsFields(JI, 0); % suppress output of additional statistics, spares runtime with large populations
JI=optimizeWith(JI, 3, 'population', eva2.server.go.populations.Population(1000);
[sol, fit]=getResult(JI);
finalPop=getMultipleResults(JI);
% binary case with a multi-objective fitness function
R=30;
JI=JEInterface(@testfun, 'binary', R, R, 6, 'Display', 'iter', 'TolX', 0, 'TolFun', 0, 'MaxFunEvals', 3000);
JI=optimizeWith(JI, 14);
% The resulting solution set is a pareto dominant set found with NSGA-II
[finalSols, finalFit]=getMultipleResults(JI);
% integer case with specific initialization range
initR=[-15 -15 -15 -15 -15; -5 -5 -5 -5 -5];
R=[-15 -15 -15 -15 -15; 15 15 15 15 15];
JI=JEInterface(@testfun, 'int', R, initR, 5, 'Display', 'iter');
JI=optimize(JI, 3);
[sol, fit]=getResult(JI);
finalPop=getMultipleResults(JI);