Research Article
A Hybrid Lightning Search Algorithm-Simplex Method for Global Optimization
Table 9
Best results of the cantilever beam design by different methods.
| | Method | Optimum variables | | | | | | |
| | CONLIN [31] | 6.0100 | 5.3000 | 4.4900 | 3.4900 | 2.1500 | NC | | MMA [31] | 6.0100 | 5.3000 | 4.4900 | 3.4900 | 2.1500 | 1.3400 | | CS [31] | 6.0089 | 5.3049 | 4.5023 | 3.5077 | 2.1504 | 1.33999 | | GCA_I [32] | 6.0100 | 5.3000 | 4.4900 | 3.4900 | 2.1500 | 1.3400 | | GCA_II [32] | 6.0100 | 5.3000 | 4.4900 | 3.4900 | 2.1500 | 1.3400 | | SOS [33] | 6.01878 | 5.30344 | 4.49587 | 3.49896 | 2.15564 | 1.33996 | | MFO [27] | 5.98487177 | 5.316726924 | 4.49733258 | 3.51361646 | 2.16162029 | 1.33998808 | | LSA-SM | 6.021636 | 5.310859 | 4.490882 | 3.497403 | 2.152906 | 1.339958 |
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CONLIN: CONvex LINearization; MMA: method of moving asymptotes; CS: cuckoo search; GCA: generalized convex approximation; SOS: symbiotic organisms search; NC: not converging.
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