Hybrid Differential Evolution-Particle Swarm Optimization Algorithm for Multiobjective Urban Transit Network Design Problem with Homogeneous Buses

Table 9

The Pareto front obtained by the hybrid DE-PSO for the Rivera city network.

Solution	Bus lines	Passenger cost (Cp)	Fleet size (Co)	d0	d1	dun	Maximum route headway (min)	Average route headway (min)	Average waiting time (min)
1	46	211.56	86	80.61	19.39	0.00	8.20	6.31	1.94
2	47	199.64	88	79.52	20.48	0.00	7.32	6.26	1.81
3	49	183.73	91	85.24	14.76	0.00	6.45	5.09	1.62
4	50	178.42	93	82.45	17.55	0.00	6.21	4.92	1.46
5	51	165.31	94	82.25	17.75	0.00	5.26	4.02	1.53
6	53	161.43	96	85.35	14.65	0.00	4.12	3.23	1.47
7	54	159.74	98	91.25	8.75	0.00	2.61	1.86	1.50
8	55	148.62	105	93.67	6.33	0.00	3.33	1.60	1.51
9	58	144.25	110	93.73	6.27	0.00	2.18	1.57	1.50
10	60	138.86	126	93.86	6.14	0.00	2.05	1.21	1.50