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

Algorithm 5

Environmental selection (P, R′, N, M, Z^∗, and Z^nad).

Input: P (population), R′ (set of new reference points), N (size of
population), M (number of objective), Z^∗ (ideal point), Z^nad (nadir point)
	Output: Q (population for next generation)
(1)	for i = 1 to M do
(2)	fi (p) ⟵ fi (p) − minq∈Afi (q), ;
(3)	end
(4)	Front ← Non-Dominated Sort (P);
(5)	k ← Satisfiedmin;
(6)	;
(7)	while |Frontk| > N − |Q|
(8)	p ← argmaxp ∈ Frontk DPD (Frontk\{p}, R′);
(9)	Frontk ← Frontk\{p};
(10)	end
(11)	Q ← Q ∪ Frontk;
(12)	return Q;