Multi-objective shape optimization of developable Bézier-like surfaces using non-dominated sorting genetic algorithm

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Table 2

Comparison results of MSSA, NSGA-II, and MOGOA for models K1–K4 in GD, IGD, and T(s).

Algorithms		MSSA			NSGA-II			MOGOA
Model		GD	IGD	T(s)	GD	IGD	T(s)	GD	IGD	T(s)
K1	MIN	1.16	9.65	101.64	0.36	8.73	25.76	1.79	13.01	237.69
	MAX	1.32	11.57	103.65	0.80	20.07	26.71	1.96	14.52	241.05
	AVG	1.23	10.45	102.00	0.59	15.85	26.45	2.15	16.06	239.78
	STD	0.15	0.78	1.03	0.21	4.41	0.85	0.17	1.32	2.33
K2	MIN	11.12	86.84	87.79	3.00	62.70	28.55	31.65	242.44	234.72
	MAX	34.18	109.29	91.02	10.40	151.60	29.52	69.98	488.62	251.68
	AVG	17.16	133.57	95.62	5.27	126.77	29.01	40.54	341.78	238.72
	STD	10.69	28.33	3.32	3.78	35.98	1.01	12.48	110.35	10.25
K3	MIN	513.84	4900.00	99.86	145.14	4710.00	24.94	511.24	4880.00	246.75
	MAX	580.51	5590.00	100.34	193.49	5410.00	25.21	1132.30	5690.00	291.82
	AVG	535.44	5120.00	102.94	165.04	4940.00	26.54	724.25	5110.00	257.29
	STD	35.98	287.36	0.64	21.87	178.96	0.32	236.36	352.69	15.26
K4	MIN	23.65	192.46	110.44	5.13	130.07	34.43	78.86	488.85	243.71
	MAX	35.43	302.26	120.05	6.41	162.09	36.35	111.79	966.08	261.86
	AVG	30.71	229.19	114.82	21.73	146.66	35.10	87.64	569.45	249.22
	STD	5.69	45.21	3.98	6.35	15.38	2.87	10.56	178.69	7.58

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