A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification

Table 6

The optimization results calculated by the proposed algorithm.

Number	𝑓1(𝑋) (t/h)	𝑓2(𝑋) (%)
1	92.972	90.814
2	91.810	91.900
3	92.360	90.923
4	90.620	93.460
5	91.310	92.494
6	90.170	93.800
7	89.390	95.200
8	89.480	94.932
9	91.530	92.400
10	89.298	95.763
11	89.824	94.549
12	89.800	94.395
13	89.710	94.618
14	91.170	92.800
15	91.880	91.840
16	92.190	91.281
17	89.870	94.090
18	91.000	93.285
19	91.960	91.520
20	91.124	93.221