Parameters for operating the evolutionary algorithm. More...

#include <ea.h>

Data Fields
bool	subsumption
	Whether to try and subsume offspring classifiers.

double	select_size
	Fraction of set size for tournaments.

double	err_reduc
	Amount to reduce an offspring's error.

double	fit_reduc
	Amount to reduce an offspring's fitness.

double	p_crossover
	Probability of applying crossover.

double	theta
	Average match set time between EA invocations.

int	lambda
	Number of offspring to create each EA invocation.

int	select_type
	Roulette or tournament for EA parental selection.

bool	pred_reset
	Whether to reset or copy offspring predictions.

Detailed Description

Parameters for operating the evolutionary algorithm.

Definition at line 40 of file ea.h.

Field Documentation

◆ err_reduc

double ArgsEA::err_reduc

Amount to reduce an offspring's error.

Definition at line 43 of file ea.h.

◆ fit_reduc

double ArgsEA::fit_reduc

Amount to reduce an offspring's fitness.

Definition at line 44 of file ea.h.

◆ lambda

int ArgsEA::lambda

Number of offspring to create each EA invocation.

Definition at line 47 of file ea.h.

◆ p_crossover

double ArgsEA::p_crossover

Probability of applying crossover.

Definition at line 45 of file ea.h.

◆ pred_reset

bool ArgsEA::pred_reset

Whether to reset or copy offspring predictions.

Definition at line 49 of file ea.h.

◆ select_size

double ArgsEA::select_size

Fraction of set size for tournaments.

Definition at line 42 of file ea.h.

◆ select_type

int ArgsEA::select_type

Roulette or tournament for EA parental selection.

Definition at line 48 of file ea.h.

◆ subsumption

bool ArgsEA::subsumption

Whether to try and subsume offspring classifiers.

Definition at line 41 of file ea.h.

◆ theta

double ArgsEA::theta

Average match set time between EA invocations.

Definition at line 46 of file ea.h.

The documentation for this struct was generated from the following file:

ea.h

Data Fields