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📄 newfeasible.m

📁 UMDA. a kind of estimation of distribution algorithm , which is the improvement of genetic algorithm
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function[is_feasible] = NewFeasible(s,i,Pos)% NewFeasible evaluates if a given move is feasible.  global InitConf;   if (size(s,2) <=2)       is_feasible=1;       return;   else       [Overlappings,Pos] =  CheckConstraint(Pos,i,s);        is_feasible = (Overlappings==0);   end% Last version 10/09/2005. Roberto Santana (rsantana@si.ehu.es) 

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