platypus.indicators module

class platypus.indicators.EpsilonIndicator(reference_set)

Additive epsilon-indicator (AEI) performance indicator.

Parameters

reference_setiterable of Solution: The reference set used for normalization.

calculate(set)

Calculates and returns the indicator value.

setiterable of Solution: The collection of solutions against which the indicator value is computed.

class platypus.indicators.GenerationalDistance(reference_set, d=2.0)

Generational distance (GD) performance indicator.

reference_setiterable of Solution: The reference set used for normalization.
dfloat, default=2.0: The power used when computing the distance.

calculate(set)

Calculates and returns the indicator value.

setiterable of Solution: The collection of solutions against which the indicator value is computed.

class platypus.indicators.Hypervolume(reference_set=None, minimum=None, maximum=None)

Hypervolume performance indicator.

reference_setiterable of Solution, optional: The reference set used for normalization.
minimumlist of float, optional: The minimum bounds for normalization.
maximumlist of float, optional: The maximum bounds for normalization.

calculate(set)

Calculates and returns the indicator value.

setiterable of Solution: The collection of solutions against which the indicator value is computed.

class platypus.indicators.InvertedGenerationalDistance(reference_set, d=1.0)

Inverged generational distance (IGD) performance indicator.

reference_setiterable of Solution: The reference set used for normalization.
dfloat, default=1.0: The power used when computing the distance.

calculate(set)

Calculates and returns the indicator value.

setiterable of Solution: The collection of solutions against which the indicator value is computed.

class platypus.indicators.Spacing

Spacing performance indicator.

calculate(set)

Calculates and returns the indicator value.

setiterable of Solution: The collection of solutions against which the indicator value is computed.