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

Algorithm 1

General framework of MOEA-CRL.

	Input: N (population size), NR (number of reference point and archive size), M (number of objective)
	Output: P (final population)
(1)	P ⟵ Ramdom Initialize (N, M);
(2)	R ⟵ Uniform Reference Point (NR, M);
(3)	A ⟵ P;
(4)	[Z^∗, Z^nad] ⟵ A;
(5)	R′ ⟵ R;
(6)	while termination condition not fulfilled
(7)	P′ ⟵ Mating Selection (P, R′, Z^∗, Z^nad);
(8)	O ⟵ Variation (P′, N);
(9)	[A, R′, Z^∗, Z^nad] ⟵ Update RefLines (A ∪ O, R, Z^∗, Z^nad);
(10)	P ⟵ Environment Selection (P∪O, R′, N, M, Z^∗, Z^nad);
(11)	end
(12)	return P;