Genetic Algorithm for Biobjective Urban Transit Routing Problem

Table 5

Computational results for method 1.

Case	CPU time (sec)	Generation	Objective	Results
				𝑑0	𝑑1	𝑑2	𝑑un	ATT	𝐶𝑂
I	67.15	327	Passenger	89.84	9.80	0.36	0.00	10.75	131
			Operator	67.68	28.13	4.16	0.03	13.83	67
II	101.00	473	Passenger	92.92	6.53	0.55	0.00	10.47	184
			Operator	58.66	32.29	7.65	1.39	14.29	69
III	187.80	790	Passenger	92.02	7.58	0.40	0.00	10.51	194
			Operator	52.10	27.48	14.32	6.10	15.58	66
IV	618.86	2361	Passenger	91.70	7.72	0.58	0.00	10.59	212
			Operator	50.24	20.65	15.85	13.26	16.59	66
Average	243.70	988	Passenger	91.62	7.91	0.47	0.00	10.58	181
			Operator	57.17	27.14	10.50	5.19	15.07	67