sam.c File Reference

Self-adaptive mutation functions. More...

#include "sam.h"
#include "utils.h"

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Macros
#define	MU_EPSILON   0.0005
	smallest mutation rate allowable More...
#define	N_RATES   (10)
	number of mutation rates for rate selection adaptation More...

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

Variables
static const double	mrates [(10)]
	Values for rate selection adaptation. 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.c.

Macro Definition Documentation

MU_EPSILON

#define MU_EPSILON   0.0005

smallest mutation rate allowable

Definition at line 27 of file sam.c.

N_RATES

#define N_RATES   (10)

number of mutation rates for rate selection adaptation

Definition at line 28 of file sam.c.

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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Variable Documentation

mrates

const double mrates[(10)]

static

Initial value:

= { 0.0005, 0.001, 0.002, 0.003, 0.005,
                                        0.01,   0.015, 0.02,  0.05,  0.1 }

Values for rate selection adaptation.

Definition at line 33 of file sam.c.

Referenced by sam_adapt(), and sam_init().