sam.h File Reference

Self-adaptive mutation functions. More...

#include "xcsf.h"

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Macros
#define	SAM_LOG_NORMAL   (0)
	Log normal self-adaptation. More...
#define	SAM_RATE_SELECT   (1)
	Ten normally distributed rates. More...
#define	SAM_UNIFORM   (2)
	Uniformly random self-adaptation. More...

Functions
void	sam_adapt (double *mu, const int N, const int *type)
	Self-adapts mutation rates. More...
void	sam_init (double *mu, const int N, const int *type)
	Initialises self-adaptive mutation rates. More...
void	sam_json_import (double *mu, const int N, const cJSON *json)
	Initialises a mutation vector from a cJSON object. More...

Detailed Description

Self-adaptive mutation functions.

Author

Richard Preen rpree.nosp@m.n@gm.nosp@m.ail.c.nosp@m.om

Copyright

The Authors.

Date

2015–2021.

Definition in file sam.h.

Macro Definition Documentation

SAM_LOG_NORMAL

#define SAM_LOG_NORMAL   (0)

Log normal self-adaptation.

Definition at line 28 of file sam.h.

SAM_RATE_SELECT

#define SAM_RATE_SELECT   (1)

Ten normally distributed rates.

Definition at line 29 of file sam.h.

SAM_UNIFORM

#define SAM_UNIFORM   (2)

Uniformly random self-adaptation.

Definition at line 30 of file sam.h.

Function Documentation

sam_adapt()

void sam_adapt	(	double *	mu,
		const int	N,
		const int *	type
	)

Self-adapts mutation rates.

Parameters

[in,out]	mu	Vector of mutation rates.
[in]	N	Number of mutation rates.
[in]	type	Vector specifying each rate type.

Definition at line 68 of file sam.c.

References clamp(), mrates, MU_EPSILON, N_RATES, rand_normal(), rand_uniform(), rand_uniform_int(), SAM_LOG_NORMAL, SAM_RATE_SELECT, and SAM_UNIFORM.

Referenced by act_integer_mutate(), cond_ellipsoid_mutate(), cond_rectangle_mutate(), cond_ternary_mutate(), graph_mutate(), neural_layer_connected_mutate(), neural_layer_convolutional_mutate(), neural_layer_lstm_mutate(), neural_layer_recurrent_mutate(), pred_nlms_mutate(), and tree_mutate().

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sam_init()

void sam_init	(	double *	mu,
		const int	N,
		const int *	type
	)

Initialises self-adaptive mutation rates.

Parameters

[out]	mu	Vector of mutation rates.
[in]	N	Number of mutation rates.
[in]	type	Vector specifying each rate type.

Definition at line 43 of file sam.c.

References mrates, MU_EPSILON, N_RATES, rand_uniform(), rand_uniform_int(), SAM_LOG_NORMAL, SAM_RATE_SELECT, and SAM_UNIFORM.

Referenced by act_integer_init(), cond_ellipsoid_init(), cond_rectangle_init(), cond_ternary_init(), graph_init(), neural_layer_connected_init(), neural_layer_convolutional_init(), neural_layer_lstm_init(), neural_layer_recurrent_init(), pred_nlms_init(), and tree_rand().

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sam_json_import()

void sam_json_import	(	double *	mu,
		const int	N,
		const cJSON *	json
	)

Initialises a mutation vector from a cJSON object.

Parameters

[in,out]	mu	Vector of mutation rates.
[in]	N	Number of mutation rates.
[in]	json	cJSON object.

Definition at line 100 of file sam.c.

Referenced by act_integer_json_import(), cond_ellipsoid_json_import(), cond_rectangle_json_import(), cond_ternary_json_import(), graph_json_import(), and pred_nlms_json_import().

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