A Multi-Objective Stochastic Model for an Earthquake Relief Network

Table 7

16 representative efficient solutions from the Pareto frontier for each event scenario.

Scenario 1						Scenario 2
Sol. no	z in (14)				CPU	z in (14)				CPU
1	0.028	22.724	15.421	589526	32	0.029	16.528	20.318	146560	4
2	0.031	22.724	15.421	589526	284	0.033	22.748	15.522	1164400	58
3	0.020	13.97	20.55	73280	24	0.021	14.948	20.79	146560	67036
4	0.030	22.724	15.421	589526	6	0.034	16.528	20.318	146560	4
5	0.025	17.114	17.225	490780	205	0.025	14.948	20.79	146560	8
6	0.035	22.724	15.421	589526	79	0.038	22.748	15.522	1164400	7
7	0.023	15.554	20.149	73.280	4	0.023	15.554	20.149	146560	8010
8	0.027	18.604	16.158	697556	214	0.028	16.618	17.46	1084400	237
9	0.039	22.72	15.421	582200	5	0.042	22.748	15.522	1084400	3
10	0.011	14.25	22.225	0	4620	0.012	15.5	22.46	0	5521
11	0.022	16.66	17.225	589526	84	0.023	14.24	20.79	246760	42
12	0.010	14.25	22.225	0	5642	0.011	15.5	22.46	0	23325
13	0.043	22.724	15.421	582200	17	0.045	22.748	15.522	1084400	12
14	0.015	11.747	20.886	296380	4	0.016	11.198	23.858	165240	8
15	0.041	19.275	9.761	2129496	2	0.043	18.89	9.862	4258992	2
16	0.009	15.871	21.819	0	33447	0.009	17.134	21.819	0	1218
Scenario 3						Scenario 4
Sol. no	z in (14)				CPU	z in (14)				CPU
1	0.031	17.502	20.487	219840	34	0.031	18.476	20.656	293120	546
2	0.036	22.772	15.623	1746600	31	0.036	18.476	20.656	293120	5
3	0.022	17.571	22.157	20040	29774	0.021	18.568	22.326	0	26293
4	0.035	17.502	20.487	219840	169	0.035	18.476	20.656	293120	117
5	0.026	17.502	20.487	219840	534	0.027	18.476	20.656	293120	677
6	0.041	22.772	15.623	1746600	12	0.042	18.476	20.656	293120	3
7	0.024	18.33	22.157	0	14146	0.024	19.58	22.326	0	1493
8	0.029	18.152	17.157	1626600	53	0.030	18.602	18.19	1540944	90
9	0.046	22.772	15.623	1746600	6	0.048	18.88	20.656	293120	4
10	0.012	16.75	22.695	0	5382	0.012	18	22.93	0	25839
11	0.024	14.86	21.025	370140	10	0.024	15.48	21.26	493520	7
12	0.011	18.33	22.157	0	21512	0.011	19.688	22.326	0	31976
13	0.047	22.772	15.623	1746600	3	0.050	22.796	15.724	2328800	3
14	0.016	11.526	24.688	199800	42	0.017	12.168	24.924	266400	100
15	0.044	18.505	9.963	6398508	2	0.046	18.12	10.064	8517984	2
16	0.010	18.33	22.157	0	16030	0.010	19.58	22.326	0	5340