A Fast Approach for Reoptimization of Railway Train Platforming in Case of Train Delays

Table 12

Optimization results of CPLEX-WV and GSAHA with different values of weighting factor .

Weighting factor	CPLEX-WV				GSAHA
	Obj 1 value (min)	Obj 2 value	Obj value	CPU time (s)	Obj 1 value (min)	Obj 2 value	Obj value	CPU time (s)	GAP with CPLEX-WV (%)
0	0	587	587	3600	0	477	477	32.92	−18.74
1	104	621	725	490.90	112	651	763	30.85	5.24
2	164	659	823	541	188	670	858	28.97	4.25
3	246	659	905	540.47	270	672	942	29.05	4.09
4	328	663	991	607.41	336	697	1033	29.17	4.24
5	410	663	1073	731.23	420	704	1124	29.33	4.75
6	492	659	1151	544.47	504	706	1210	29.02	5.13
7	574	659	1233	547.19	588	702	1290	28.99	4.62
8	656	663	1319	651.16	672	709	1381	29.07	4.70
9	738	669	1407	934.73	756	704	1460	29.09	3.77
10	820	663	1483	718.23	841	715	1556	28.30	4.92
40	3280	659	3939	740.22	3376	764	4140	27.60	5.10
80	6560	659	7219	589.28	6736	771	7507	28.20	3.99
120	9840	659	10499	764.37	10142	772	10914	27.52	3.95
160	13120	663	13783	447.63	13449	784	14233	27.51	3.26
200	16400	659	17059	679.48	16848	764	17612	27.08	3.24
240	19680	659	20339	388.56	20182	769	20951	27.25	3.01
280	22960	659	23619	359.88	23468	874	24342	27.49	3.06
320	26240	659	26899	595.69	26924	757	27681	27.65	2.91
360	29520	659	30179	329.28	30261	808	31069	28.23	2.95
400	32800	659	33459	340.13	33631	771	34402	28.77	2.82
440	36080	659	36739	412.67	37089	719	37808	28.22	2.91
∞	82	0	82	256.36	84	0	84	30.04	2.44