N-D Test Functions G¶

class go_benchmark.Gear(dimensions=4)

Gear test objective function.

This class defines the Gear global optimization problem. This is a multimodal minimization problem defined as follows:

Here, represents the number of dimensions and for .

Global optimum: for , where the various may be permuted.

class go_benchmark.Giunta(dimensions=2)

Giunta test objective function.

This class defines the Giunta global optimization problem. This is a multimodal minimization problem defined as follows:

Here, represents the number of dimensions and for .

Two-dimensional Giunta function

Global optimum: for

class go_benchmark.GoldsteinPrice(dimensions=2)

Goldstein-Price test objective function.

This class defines the Goldstein-Price global optimization problem. This is a multimodal minimization problem defined as follows:

Here, represents the number of dimensions and for .

Two-dimensional Goldstein-Price function

Global optimum: for

class go_benchmark.Griewank(dimensions=2)

Griewank test objective function.

This class defines the Griewank global optimization problem. This is a multimodal minimization problem defined as follows:

Here, represents the number of dimensions and for .

Two-dimensional Griewank function

Global optimum: for for

class go_benchmark.Gulf(dimensions=3)

Gulf test objective function.

This class defines the Gulf global optimization problem. This is a multimodal minimization problem defined as follows:

Where, in this exercise:

Here, represents the number of dimensions and for .

Global optimum: for

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