Research Article
A Hybrid Algorithm Framework with Learning and Complementary Fusion Features for Whale Optimization Algorithm
Table 16
Comparison results for I-beam design problem.
| Method | | | | | |
| ARSM [44] | 37.050000 | 80.000000 | 1.710000 | 2.310000 | 0.015700 | IARSM [44] | 48.420000 | 79.990000 | 0.900000 | 2.400000 | 0.131000 | CS [41] | 50.000000 | 80.000000 | 0.900000 | 2.321675 | 0.013075 | SOS [42] | 50.000000 | 80.000000 | 0.900000 | 2.32179 | 0.013074 | WOA | 44.000000 | 80.000000 | 0.900815 | 2.644304 | 0.0131734 | WOA-DE | 50.000000 | 80.000000 | 0.900000 | 2.321792 | 0.013074 | WOA-BSA | 50.000000 | 80.000000 | 0.900000 | 2.321792 | 0.013074 |
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