optymus.benchmark.WheelersRidge¶
- class optymus.benchmark.WheelersRidge[source]¶
Wheeler’s Ridge Function
The Wheeler’s Ridge function is two-dimensional function with a single global minimum in a deep curved peak.
It is defined as:
\[f(x) = -\exp (-(x_{1}x_{2}-a)^{2}-(x_{2}-a)^{2})\]where \(a\) is typically set to 1.5 and the global minimum is at \(x = [1, 3/2]\).
Methods
__init__()Attributes
BOUNDSNAMETRUE_MINIMUM