Research Article
Biological Flower Pollination Algorithm with Orthogonal Learning Strategy and Catfish Effect Mechanism for Global Optimization Problems
| | Function name | Scope | Optimal solution | Optimum |
| | Sphere function | [−100, 100]D | | 0 | | Quartic function with noise | [−1.28, 1.28]D | | 0 | | High conditioned elliptic function | [−100, 100]D | | 0 | | Rosenbrock function | [−30, 30]D | | 0 | | Schwefel problem 2.22 function | [−10, 10]D | | 0 | | Step function | [−100, 100]D | | 0 | | Dixon-price function | [−10, 10]D | | 0 | | Schwefel function | [−500, 500]D | | −418.9829D | | Rastrigin function | [−5.12, 5.12]D | | 0 | | Griewank function | [−600, 600]D | | 0 | | Ackley function | [−32, 32]D | | 0 | | Noncontinuous rastrigin function | [−5.12, 5.12]D | | 0 | | Generalized penalized function 1 | [−10, 10]D | | 0 | | Generalized penalized function 2 | [−10, 10]D | | 0 |
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