Multiobjective Design Optimization Framework for Multicomponent System with Complex Nonuniform Loading

Table 1

Extracted training samples.

Sample	x1	x2	x3	σF1	σF3	σMF	SMF	SFmax
1	390	39	446	5478.36	6088.866	2096.75	34708.48	70669.73
2	433	106	462	6752.66	6670.62	4389.78	49454.32	93768.56
3	409	48	406	4213.39	4146.539	4882.84	34017.66	63289.52
4	418	82	453	5718.21	5777.563	1403.27	43320.44	85526.51
5	393	86	459	6297.80	6242.555	2301.85	41561.77	89275.85
6	449	91	448	5431.01	5322.861	5860.59	47852.8	89216.56
7	424	140	451	8671.58	7605.778	2878.48	51373.97	113861.80
8	473	108	488	7110.48	6871.813	12331.36	57903.74	112841.70
9	485	76	470	6382.03	6362.146	11143.59	52054.45	93507.65
10	457	128	409	4517.62	5344.153	10078.74	49212.41	112440.51
11	451	23	432	4282.40	5153.78	4734.30	37107.03	76721.86
12	423	55	443	6500.60	5537.399	1825.19	39707.02	95494.29
13	481	123	400	3658.48	4148.80	13708.95	51039.61	99463.75
14	458	98	403	3675.75	3830.37	9571.45	44760.41	85159.23
15	441	60	485	6235.71	5748.82	6150.34	46056.87	111631
16	479	136	450	8958.53	8488.76	12654.48	58537.90	119643
17	472	31	395	2550.09	3079.38	8237.67	36571.72	65595.75
18	462	69	464	6185.57	6892.61	7400.77	47623.44	105196.80
19	429	90	434	5715.60	6410.48	3553.80	43720.39	85185.63
20	426	47	468	5295.95	5673.30	2924.82	40827.15	77965.02
21	414	107	392	2459.88	3156.21	8467.26	39682.11	78960.68
22	413	30	452	4183.20	4876.16	520.430	36114.36	63734.86
23	456	56	397	4436.30	4444.57	7942.65	38563.35	83004.92
24	428	103	487	6741.81	7158.78	6310.21	51060.07	95940.30
25	477	24	465	4936.89	6018.77	7260.10	41893.87	72833.50
26	399	129	472	9084.01	6987.26	3386.82	49349.60	117109.30
27	475	26	440	4903.20	6094.30	6697.05	39920.45	67536.79
28	430	97	410	4272.04	5065.08	6294.49	42083.32	87140.54
29	431	57	398	3964.19	4139.24	6453.212	36342.50	70549.19
30	480	63	404	5216.05	6164.22	10156.87	42814.12	120803.00