global Formulas; % Global variable for SAT function
load TypeForm_1_Form_1.mat; % Multi-objective SAT instance
n = 20; % Number of variables
m = 10; % Number of objectives
c = 20; % Number of clauses
PopSize = 500;
NumbVar = n;
cache = [1,1,1,1,1];
Card = 2*ones(1,NumbVar);
maxgen = 50;
F = 'EvaluateSAT'; % 3-SAT function
selparams(1:2) = {0.5,'ParetoRank_ordering'};
sampling_params(1:3) = {PopSize,m,Obj_Card};
BN_params(1:7) = {'k2',5,0.05,'pearson','bayesian','no'};
edaparams{1} = {'learning_method','LearnBN',BN_params};
edaparams{2} = {'sampling_method','SampleBN',sampling_params};
edaparams{3} = {'selection_method','truncation_selection',selparams};
edaparams{4} = {'replacement_method','best_elitism',{'ParetoRank_ordering'}};
edaparams{5} = {'stop_cond_method','max_gen',{maxgen}};
[AllStat,Cache]=RunEDA(PopSize,NumbVar,F,Card,cache,edaparams)