Performance Enhancement of the Micromixer by the Multiobjective Genetic Algorithm and Surrogate Model Based on a Navier–Stokes Analysis Using Trade-Off Objective Functions

Table 3

Objective function values at six different PODs (mixing enhancement at the exit and pressure drop at Re = 40).

PODs	Design variables			Surrogate prediction		Numerical analysis		% error
	H/P	/P	d/P	Mixing enhancement	Pressure drop (Pa)	Mo	Pressure drop (Pa)	Mo	Pressure drop (Pa)
1	1.78	0.33	0.21	0.86	1946.5	0.83	1512.00	3.61	28.74
2	1.74	0.39	0.22	0.82	1436.2	0.79	1034.50	3.80	38.83
3	1.75	0.42	0.21	0.77	1078.0	0.70	781.33	10.00	37.97
4	1.76	0.41	0.20	0.72	793.2	0.66	577.25	9.09	37.41
5	1.72	0.38	0.22	0.68	603.6	0.62	487.01	9.68	23.94
6	1.73	0.33	0.19	0.62	477.3	0.65	382.2	−4.62	24.88