Watson test objective function.
This class defines the Watson global optimization problem. This is a unimodal minimization problem defined as follows:
Where, in this exercise, .
Here, represents the number of dimensions and for .
Global optimum: for
W / Wavy test objective function.
This class defines the W / Wavy global optimization problem. This is a multimodal minimization problem defined as follows:
Where, in this exercise, . The number of local minima is and for odd and even respectively.
Here, represents the number of dimensions and for .
Global optimum: for for
Wayburn and Seader 1 test objective function.
This class defines the Wayburn and Seader 1 global optimization problem. This is a unimodal minimization problem defined as follows:
Here, represents the number of dimensions and for .
Global optimum: for
Wayburn and Seader 2 test objective function.
This class defines the Wayburn and Seader 2 global optimization problem. This is a unimodal minimization problem defined as follows:
Here, represents the number of dimensions and for .
Global optimum: for
Weierstrass test objective function.
This class defines the Weierstrass global optimization problem. This is a multimodal minimization problem defined as follows:
Where, in this exercise, , and .
Here, represents the number of dimensions and for .
Global optimum: for for
Whitley test objective function.
This class defines the Whitley global optimization problem. This is a multimodal minimization problem defined as follows:
Here, represents the number of dimensions and for .
Global optimum: for for
Wolfe test objective function.
This class defines the Wolfe global optimization problem. This is a multimodal minimization problem defined as follows:
Here, represents the number of dimensions and for .
Global optimum: for for