Genetic Algorithm for Biobjective Urban Transit Routing Problem

Table 6

Computational results for method 2.

Case	CPU time (sec)	Generation	Objective	Results
				𝑑0	𝑑1	𝑑2	𝑑un	ATT	𝐶𝑂
I	23.33	116	Passenger	88.53	11.11	0.36	0.00	10.93	126
			Operator	72.54	25.27	1.93	0.27	13.14	68
II	41.71	145	Passenger	92.92	7.00	0.08	0.00	10.48	175
			Operator	66.05	31.20	2.47	0.28	13.36	69
III	50.64	158	Passenger	93.53	6.28	0.19	0.00	10.43	196
			Operator	56.81	36.13	6.31	0.75	14.29	67
IV	55.56	172	Passenger	94.68	5.29	0.03	0.00	10.32	231
			Operator	60.99	27.85	8.72	2.44	14.61	66
Average	42.81	148	Passenger	92.42	7.42	0.17	0.00	10.54	182
			Operator	64.10	30.11	4.86	0.94	13.85	68