Synchronous Optimization for Demand-Driven Train Operation Plan in Rail Transit Network Using Nondominated Sorting Coevolutionary Memetic Algorithm

Table 4

Performances of SS-Es, AS-Es and BS under different .

	Solution
0.05	SS-E-1	413244	7.67%	3139740.25	0.74%	570231.01	5.86%
	AS-E-1	437298	2.29%	3147741.75	0.49%	594685.09	1.82%
	BS	447552	—	3163228.25	—	605713.41	—
0.072	SS-E-2	417468	6.72%	3058919.75	3.30%	637710.22	5.57%
	AS-E-1	437298	2.29%	3147741.75	0.49%	663935.41	1.68%
	BS	447552	—	3163228.25	—	675304.43	—
0.1037	SS-E-2	417468	6.72%	3058919.75	3.30%	734616.80	5.27%
	AS-E-2	439002	1.91%	3125601.25	1.19%	763064.34	1.61%
	BS	447552	—	3163228.25	—	775515.50	—
0.1493	SS-E-3	433038	3.24%	2926909.25	7.47%	870023.21	5.41%
	AS-E-3	441558	1.34%	3107683.75	1.76%	905532.70	1.55%
	BS	447552	—	3163228.25	—	919819.45	—
0.215	SS-E-4	440124	1.66%	2888932.25	8.67%	1061217.99	5.89%
	AS-E-4	443190	0.97%	3097419.75	2.08%	1109106.90	1.64%
	BS	447552	—	3163228.25	—	1127617.12	—
0.3096	SS-E-5	447192	0.08%	2860860.25	9.56%	1332876.63	6.59%
	AS-E-5	444894	0.59%	3089543.75	2.33%	1401376.03	1.79%
	BS	447552	—	3163228.25	—	1426845.78	—
Average	SS-E	428089	4.35%	2989046.92	5.51%	867779.31	5.86%
	AS-E	440540	1.57%	3119288.67	1.39%	906283.41	1.68%
	BS	447552	—	3163228.25	—	921802.62	—