Research Article

A Cross-Reference Line Method Based Multiobjective Evolutionary Algorithm to Enhance Population Diversity

Algorithm 3

Update RefLines (R, A, Z, and Znad).
Input: R (set of initial reference points), A (Initial archive), Z (ideal point), Znad (nadir point)
Output: R′ (set of new reference points), A′ (new archive), Z (new ideal point), Znad (new nadir point)
(1)Duplicate candidate solutions are deleted in A;
(2)Dominated candidate solutions are deleted in A;
(3)for i = 1 to M do
(4)if minp∈Afi (p) < Z
(5)  Z ← minp∈Afi (p);
(6)else
(7)  Z ← Z;
(8)end if
(9)if max p∈Afi (p) > Znadthen
(10)  Znad ← maxp∈Afi (p);
(11)else
(12)  Znad ← Znad;
(13)end if
(14)f1i (p) ← fi (p) − Z, ;
(15)f2i (p) ← fi (p) − Znad, ;
(16);
(17) DPD (f (p), Ri) ←max (Caldis (fi (p), Ri), μCaldis (fi (p), Ri));
(18)end for
(19)Acon ← {pA| ∃rR: DPD (f (p), r) = minp∈A DPD (f (p), r)};
(20)A′ ← Acon;
(21)while |A′| < min (|R|, |A|) do
(22)p ← argmaxp1∈A\A minp2∈A arccos (f (p1), f (p2))
(23)A′ ← A′ ∪ {p};
(24)end
(25)Rvalid ← {rR| ∃rAcon: DPD (f (p), r) = minr∈R DPD (f (p), r′)};
(26)R′ ← Rvalid;
(27)while |R′| < min (|R|, |A|) do
(28)p ← argmaxp∈A\R minr∈R arccos (f (p), r);
(29)p′ ← projection (p, hyperplane);
(30)R′ ← R′ ∪ {f (p′)};
(31)end
(32)return A′, R′, Z and Znad;