Research Article
Hybrid Biogeography Based Optimization for Constrained Numerical and Engineering Optimization
Table 1
Main characteristics of the twelve selected benchmark functions.
| Benchmark function | | Type of objective function | | LI | NI | NE | |
| G01 | 13 | Quadratic | 0.0003% | 9 | 0 | 0 | 6 | G02 | 20 | Nonlinear | 99.9970% | 1 | 1 | 0 | 1 | G03 | 10 | Nonlinear | 0.0000% | 0 | 0 | 1 | 1 | G04 | 5 | Quadratic | 26.9668% | 0 | 6 | 0 | 2 | G05 | 4 | Nonlinear | 0.0000% | 2 | 0 | 3 | 3 | G06 | 2 | Nonlinear | 0.0064% | 0 | 2 | 0 | 2 | G07 | 10 | Quadratic | 0.0002% | 3 | 5 | 0 | 6 | G08 | 2 | Nonlinear | 0.8575% | 0 | 2 | 0 | 2 | G09 | 7 | Nonlinear | 0.5235% | 0 | 4 | 0 | 2 | G10 | 8 | Linear | 0.0007% | 3 | 3 | 0 | 3 | G11 | 2 | Quadratic | 0.0000% | 0 | 0 | 1 | 1 | G12 | 3 | Quadratic | 4.774% | 0 | 93 | 0 | 0 |
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