The Scientific World Journal

Research Article

Attribute Index and Uniform Design Based Multiobjective Association Rule Mining with Evolutionary Algorithm

Pseudocode 6

Pseudocode of the selection scheme for crossover operation.
population seleforcross(pop, , , )
Input: pop indicates the population; indicates the probability of
       crossover; indicates the number of the objective function;
       indicates the number of the wanted weight vectors.
Output: A indicates the randomly select chromosomes; B indicates the
     chromosomes selected by the uniform design.
 A Φ; B ;
 for   chrom ∈ pop
   generate a random;
  if   <
   A A ∪ chrom;
  end if
 end for
  length(A);
 if   ≥
  A take out from A;
 else
  A A ∪  {randomly select − chromosomes}
 end if
  apply the uniform design to select – weight vectors;
    ∪   single objective weight vectors};
 for     wv ∈w
  FitnV ;
  fitness generate fitness functions;
  for   chrom ∈ pop
   FitnV FitnV ∪ fitness(chrom);
  end for
  B     B ∪ max(FitnV);
 end for
 return  A, B;