Multiresponse Optimization of Linkage Parameters of a Compliant Mechanism Using Hybrid Genetic Algorithm-Based Swarm Intelligence

Table 4

Analysis of variance for responses b_max and .

Source	bmax
	DF	Adj. SS	Adj. MS	F-value	-value	DF	Adj. SS	Adj. MS	F-value	-value
Model	20	19998.5	999.93	170.28	≤0.001	20	6542.72	327.136	5.74	0.019
Linear	5	5793.5	1158.70	197.32	≤0.001	5	1582.78	316.556	5.55	0.030
F	1	32.0	32.02	5.45	0.058	1	234.74	234.741	4.12	0.089
Δ	1	188.1	188.09	32.03	0.001	1	3.69	3.689	0.06	0.808
X	1	826.3	826.28	140.71	≤0.001	1	2.61	2.613	0.05	0.838
θ1	1	3165.6	3165.59	539.08	≤0.001	1	807.97	807.965	14.17	0.009
T	1	1.0	1.04	0.18	0.688	1	717.46	717.457	12.59	0.012
Square	5	957.8	191.56	32.62	≤0.001	5	172.69	34.539	0.61	0.701
	1	8.4	8.37	1.43	0.278	1	19.41	19.414	0.34	0.581
	1	0.0	0.00	0.00	0.982	1	7.68	7.684	0.13	0.726
	1	11.5	11.49	1.96	0.211	1	0.76	0.762	0.01	0.912
	1	625.0	625.03	106.44	≤0.001	1	32.09	32.089	0.56	0.481
	1	3.4	3.38	0.57	0.477	1	16.71	16.705	0.29	0.608
Two-way interaction	10	695.8	69.58	11.85	0.003	10	944.44	94.444	1.66	0.277
	1	11.5	11.49	1.96	0.211	1	11.00	10.999	0.19	0.676
	1	23.1	23.07	3.93	0.095	1	0.00	0.004	0.00	0.993
	1	14.4	14.45	2.46	0.168	1	29.63	29.629	0.52	0.498
	1	0.0	0.00	0.00	0.978	1	50.38	50.376	0.88	0.383
	1	5.2	5.25	0.89	0.381	1	28.45	28.453	0.50	0.506
	1	28.6	28.64	4.88	0.069	1	75.61	75.611	1.33	0.293
	1	0.0	0.01	0.00	0.968	1	14.81	14.813	0.26	0.628
	1	157.5	157.46	26.82	0.002	1	21.53	21.534	0.38	0.561
	1	1.3	1.27	0.22	0.658	1	25.14	25.142	0.44	0.531
	1	0.8	0.82	0.14	0.722	1	5.33	5.333	0.09	0.770
Error	6	35.2	5.87			6	342.02	57.003
Total	26	20,033.8				26	6,884.74
R^2		99.82%					95.02%
R^2(adjusted)		99.24%					92.24%