Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout

Algorithm 2

Calculating the value of fitness function.

	Input: (x, y) ⟵ coordinate of facility centroid
	D ⟵ Matrix of logistics quantity between facilities;
	C ⟵ Matrix of unit logistics cost between facilities;
	r ⟵ Matrix of closeness score between facilities;
	r_max ⟵ maximum of closeness score between facilities;
	a1 ⟵ weight of logistics cost; a2 ⟵ weight of nonlogistics factors;
	Output: goal_v (value of fitness function)
(1)	for i ⟵ 1 to n_f
(2)	for j ⟵ 1 to n_f
(3)
(4)	end for
(5)	end for
(6)	G1 ⟵ sum according to the row (sum according to the column(D.flow_f.flow_c));
(7)	G2 ⟵ sum according to the row (sum according to the column(D./D_max.relation_v));
(8)	goal_ ⟵ a1G1 + a2(r_max-G2);
(5)	Genetic manipulation