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 \(x = [1, 3/2]\).

__init__()[source]

Methods

__init__()

Attributes

BOUNDS

NAME

TRUE_MINIMUM