An Efficient Hybrid Approach of Finite Element Method, Artificial Neural Network-Based Multiobjective Genetic Algorithm for Computational Optimization of a Linear Compliant Mechanism of Nanoindentation Tester

Table 9

Potentially optimal design parameters.

Candidates	l1 (mm)	t1 (mm)	l2 (mm)	t2 (mm)	l3 (mm)	t3 (mm)	(mm)
Candidate 1	27.04	0.46	21.45	0.38	5.73	0.45	14.23
Candidate 2	28.48	0.45	21.79	0.36	6.57	0.52	14.32
Candidate 3	29.94	0.46	21.81	0.37	6.56	0.53	14.39