Description Usage Arguments Value References
Also known as “Ackley's Path Function”. Multimodal test function with its global optimum in the center of the defintion space. The implementation is based on the formula
f(\mathbf{x}) = -a \cdot \exp≤ft(-b \cdot √{≤ft(\frac{1}{n} ∑_{i=1}^{n} \mathbf{x}_i\right)}\right) - \exp≤ft(\frac{1}{n} ∑_{i=1}^{n} \cos(c \cdot \mathbf{x}_i)\right),
with a = 20, b = 0.2 and c = 2π. The feasible region is given by the box constraints \mathbf{x}_i \in [-32.768, 32.768].
1 | makeAckleyFunction(dimensions)
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dimensions |
[ |
[smoof_single_objective_function
]
Ackley, D. H.: A connectionist machine for genetic hillclimbing. Boston: Kluwer Academic Publishers, 1987.
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