GaussianNetwork_OfflineHPProtein

 EXAMPLE 8:  Gaussian network for  the Offline HP Model continuous function 
 For reference on the Offline HP model see:

0001  % EXAMPLE 8:  Gaussian network for  the Offline HP Model continuous function
0002  % For reference on the Offline HP model see:
0003   
0004  Fibbonacci_n = 7; % Fibbonacci_n: Value n for the construction of the Fibbonacci sequence. NumbVar = F(n)
0005  global HPInitConf;
0006  HPInitConf = CreateFibbInitConf(Fibbonacci_n); % HP Fibbonacci configuration
0007  NumbVar = size(HPInitConf,2);
0008  PopSize = 200; 
0009  F = 'EvaluateOffHPProtein';
0010  cache = [1,1,1,1,1]; Card = [zeros(1,NumbVar);2*pi*ones(1,NumbVar)];
0011  BN_params(1:6) = {'k2',10,0.05,'pearson','bic','no'};
0012  edaparams{1} = {'learning_method','LearnGaussianNetwork',BN_params};
0013  edaparams{2} = {'sampling_method','SampleBN',{PopSize,1}};
0014  edaparams{3} = {'repairing_method','SetInBounds_repairing',{}};
0015  edaparams{4} = {'stop_cond_method','max_gen',{50}};
0016   [AllStat,Cache]=RunEDA(PopSize,NumbVar,F,Card,cache,edaparams); 
0017  % To draw the resulting solution use function OffPrintProtein(vector),
0018  % where vector is the best solution found.
0019  OffPrintProtein(AllStat{maxgen,2})