Multigraph Modeling for Urban Distribution of Emergency Commodities with Semisoft Time Windows under Uncertainty

Table 4

Comparison metrics for different size instances.

Problem no.	Modified NSGA-II					Standard NSGA-II
	NOS	SM	MID	QM	CPU time (s)	NOS	SM	MID	QM	CPU time (s)
1	4	0.128	0.506	1	54.20	2	0.102	0.545	0.50	67.23
2	5	0.360	0.449	0.71	56.32	4	0.331	0.651	0.50	69.17
3	5	0.390	0.445	1	60.41	3	0.958	0.466	0.60	73.52
4	4	0.096	0.368	1	64.17	3	0.172	0.469	0.75	77.16
5	6	0.294	0.435	0.85	66.58	3	0.518	0.687	0.11	79.54
6	5	0.059	0.320	0.62	72.18	5	0.237	0.633	0.37	80.69
7	6	0.048	0.290	1	75.39	4	0.198	0.591	0.66	86.02
8	6	0.270	0.125	1	76.09	3	0.610	0.353	0.50	89.16
9	7	0.136	0.226	0.87	77.39	4	0.748	0.509	0.25	90.03
10	6	0.068	0.432	0.75	80.11	5	0.405	0.631	0.50	87.51
11	8	0.473	0.265	0.80	84.06	5	0.462	0.446	0.60	97.62
12	8	0.466	0.326	1	85.84	6	0.711	0.508	0.63	100.4
13	9	0.114	0.195	0.81	87.11	5	0.459	0.359	0.45	103.9
14	8	0.310	0.355	0.88	89.77	5	0.536	0.205	0.11	106.7
15	10	0.151	0.209	0.76	92.01	7	0.504	0.244	0.38	111.6
16	9	0.256	0.249	0.81	96.21	6	0.425	0.302	0.54	113.4
17	11	0.337	0.274	0.91	96.99	8	0.297	0.397	0.41	115.0
18	10	0.164	0.321	0.83	98.19	7	0.414	0.313	0.58	117.8
19	11	0.220	0.298	0.78	100.1	8	0.602	0.426	0.50	119.3
20	12	0.153	0.360	1	104.9	9	0.442	0.349	0.58	122.7
21	11	0.327	0.301	0.84	106.3	11	0.526	0.397	0.53	124.6
22	13	0.556	0.325	0.76	108.1	10	0.442	0.401	0.47	125.0
23	16	0.288	0.194	0.94	110.0	11	0.899	0.273	0.52	127.6
24	15	0.380	0.220	0.83	114.3	12	0.564	0.258	0.61	129.0
25	16	0.288	0.362	1	117.9	13	0.442	0.359	0.69	130.8
Average	8.84	0.253	0.314	0.87	86.98	6.360	0.480	0.430	0.49	101.81