Research Article
A Novel Approach to Improve the Performance of Evolutionary Methods for Nonlinear Constrained Optimization
Table 3
The values of mutation rate, red_gen, red_factor, and penalty coefficient for each test problem.
| | Mutation rate (before and after red_gen) | red_gen | red_factor | Penalty coefficient |
| G1 | 0.2–0.05 | 1000 | 0.05 | 10 | G2 | 0.2–0.05 | 1500 | 0.1 | 10 | G3 | 0.2–0.1 | 2000 | 0.1 | 1000 | G4 | 0.2–0.05 | 1000 | 0.05 | 1500 | G5 | — | — | — | — | G6 | 0.2–0.1 | 1000 | 0.02 | 10000 | G7 | 0.2–0.05 | 2000 | 0.05 | 10 | G8 | 0.2–0.05 | 1000 | 0.05 | 1000 | G9 | 0.2–0.05 | 1000 | 0.05 | 10 | G10 | 0.2–0.1 | 2500 | 0.2 | 15000 | G11 | 0.2–0.05 | 1000 | 0.05 | 10 |
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