Ackley Function
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].
makeAckleyFunction(dimensions)
dimensions |
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[smoof_single_objective_function
]
Ackley, D. H.: A connectionist machine for genetic hillclimbing. Boston: Kluwer Academic Publishers, 1987.
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