Research Article

A Hybrid Nondominant-Based Genetic Algorithm (NSGA-II) for Multiobjective Optimization to Minimize Vibration Amplitude in the End Milling Process

Table 7

Pareto-optimum solutions (NSGA-II).

Sl. no.NγSpindle vibration: predicted by NSGA-II ASV(NSGA-II)Worktable vibration: predicted by NSGA-II AWTV(NSGA-II)

12326.980.110.890.8912.060.024040.00167
22324.310.120.890.8912.060.023880.00165
32300.280.120.700.7912.230.014500.00264
42288.400.170.700.6912.470.013390.00284
52308.640.120.810.7812.350.015990.00226
62320.460.120.880.8512.070.021200.00177
72295.810.120.700.7012.390.013360.00281
82316.220.120.840.7812.240.016960.00214
92321.880.120.880.8613.070.021990.00191
102299.540.120.790.7612.260.015100.00231
112306.800.120.820.7912.200.016700.00212
122289.540.120.700.7012.400.013370.00282
132313.430.120.810.8512.460.018660.00207
142322.560.120.850.8412.070.019260.00190
152325.760.120.890.8012.040.023910.00166
162318.480.120.870.8212.570.019500.00198
172320.190.120.850.8612.080.020340.00187
182300.560.120.760.7312.240.014210.00247
192305.430.110.830.8112.620.017610.00210
202319.120.120.770.7612.120.014670.00239
212307.260.120.740.7112.190.013670.00263