modea.Individual module

This module contains definitions of Individual classes, that allow for a common interface with different underlying genotypes (float, int, mixed-integer).

class modea.Individual.FloatIndividual(n)

Bases: object

Data holder class for individuals using a vector of floating point values as genotype. This type of individual can therefore be used by an Evolution Strategy (ES) such as the CMA-ES. Stores the genotype column vector and all individual-specific parameters. Default genotype is np.ones((n,1))

Parameters:n – dimensionality of the problem to be solved

class modea.Individual.MixedIntIndividual(n, num_discrete, num_ints, num_floats=None)

Bases: object

Data holder class for individuals using a vector containing both floating point and integer values as genotype. This type of individual can therefore be used by a GA with mixed-integer mutation operators. Stores the genotype column vector and all individual-specific parameters. Default genotype is np.ones((n,1))

Parameters:

• n – Dimensionality of the problem to be solved, consisting of discrete, integers and floating point values
• num_discrete – Number of discrete values in the genotype.
• num_ints – Number of integer values in the genotype.
• num_floats – Number of floating point values in the genotype.

stepsizeMIES

exception modea.Individual.MixedIntIndividualError

Bases: Exception