AMOBH: Adaptive Multiobjective Black Hole Algorithm

Algorithm 3

Adaptive global optimum selection.

Require: The archive .

(1) %Calculate the cell density of solutions in archive.

(2) CD = CellDensity(Ar);

(3) %Calculate the strength of cell dominance of solutions in archive.

(4) SCD = StrCellDominance();

(5) %Sort the solutions with cell density in ascending order.

(6) SC = Sort(CD, ’ascend’);

(7) %Sort the solutions with strength of cell dominance in descending order.

(8) SS = Sort(SCD, ’descend’);

(9) %Select 2 solutions from archive as the global optimum solutions.

(10) if  evolutionStatus ’convergence’  then

(11) Bholes = [Ar[FindFirst(SC, )], Ar[FindFirst(SS, )]];

(12) %Select the first solutions from .

(13) %And select the first solutions from .

(14) elseif  evolutionStatus ’stagnation’

(15) Bholes = [Ar[FindFirst(SC, )], Ar[FindFirst(SS, )]];

(16) elseif evolutionStatus ’diversity’

(17) Bholes = [Ar[FindFirst(SC, )], Ar[FindFirst(SS, )]];

(18) end if

(19) return  ;