Research Article
A Hybrid Mutation Chemical Reaction Optimization Algorithm for Global Numerical Optimization
Table 1
The benchmark objective functions.
| Objective function | Number of molecules | Lower-upper bound | | Name |
| Category I | | | | | | 30 | | 0 | Sphere model | | 30 | | 0 | Schwefel’s problem 2.22 | | 30 | | 0 | Schwefel’s problem 1.2 | | 30 | | 0 | Schwefel’s problem 2.21 | | 30 | | 0 | Generalized Rosenbrock’s function | | 30 | | 0 | Step function quartic | | 30 | | 0 | Function with noise |
| Category II | | | | | | 30 | | | Generalized Schwefel’s problem 2.26 | | 30 | | 0 | Generalized Rastrigin’s function | | 30 | | 0 | Ackley’s function | | 30 | | 0 | Generalized Griewank function |
| 30 | | 0 |
Generalized penalized functions |
| 30 | | 0 | Remark: in and , | | | | |
| Category III | | | | | | | | 1 | Shekel’s foxholes function | | 4 | | 0.0003075 | Kowalik’s function | | 2 | | | Six-hump camel-back function | | 2 | | | Branin function |
| 2 | | | Goldstein-Price function | | 3 | | |
Hartman’s family | | 6 | | | | 4 | | |
Shekel’s family | | 4 | | | | 4 | | |
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