Inheritance diagram for bio_ik::IKEvolution1:

Collaboration diagram for bio_ik::IKEvolution1:

[legend]

Classes
class	HeuristicErrorTree

struct	Individual

Public Member Functions
void	setParams (const IKParams &p)

template<class t >
t	select (const std::vector< t > &v)

double	clip (double v, size_t i)

double	getMutationStrength (size_t i, const Individual &parentA, const Individual &parentB)

double	computeAngularScale (size_t tip_index, const Frame &tip_frame)

double	getHeuristicError (size_t variable_index, bool balanced)

void	reroll (Individual &offspring)

double	computeFitness (const std::vector< double > &genes, bool balanced)

bool	checkWipeout ()

void	computeExtinctions ()

bool	tryUpdateSolution ()

double	getMutationProbability (const Individual &parentA, const Individual &parentB)

void	sortByFitness ()

double	bounce (double v, int i)

void	reproduce (Individual &offspring, const Individual &parentA, const Individual &parentB, const Individual &prototype)

void	exploit (Individual &individual)

	IKEvolution1 (const IKParams &p)

void	init ()

void	initialize (const Problem &problem)

const std::vector< double > &	getSolution () const

double	getSolutionFitness ()

const std::vector< Frame > &	getSolutionTipFrames ()

bool	evolve ()

void	step ()

virtual size_t	concurrency () const

Public Member Functions inherited from bio_ik::IKBase
	IKBase (const IKParams &p)

double	computeSecondaryFitnessActiveVariables (const double *active_variable_positions)

double	computeSecondaryFitnessAllVariables (const std::vector< double > &variable_positions)

double	computeFitnessActiveVariables (const std::vector< Frame > &tip_frames, const double *active_variable_positions)

double	computeFitnessActiveVariables (const aligned_vector< Frame > &tip_frames, const double *active_variable_positions)

double	computeCombinedFitnessActiveVariables (const std::vector< Frame > &tip_frames, const double *active_variable_positions)

double	computeCombinedFitnessActiveVariables (const aligned_vector< Frame > &tip_frames, const double *active_variable_positions)

bool	checkSolutionActiveVariables (const std::vector< Frame > &tip_frames, const double *active_variable_positions)

bool	checkSolution (const std::vector< double > &variable_positions, const std::vector< Frame > &tips)

double *	extractActiveVariables (const std::vector< double > &variable_positions)

double	computeFitness (const std::vector< double > &variable_positions, const std::vector< Frame > &tip_frames)

double	computeFitness (const std::vector< double > &variable_positions)

Public Member Functions inherited from bio_ik::Random
double	random ()

std::size_t	random_index (std::size_t s)

double	random_gauss ()

double	random (double min, double max)

template<class e >
e &	random_element (std::vector< e > &l)

template<class e >
const e &	random_element (const std::vector< e > &l)

size_t	fast_random_index (size_t mod)

template<class T >
const T &	fast_random_element (const std::vector< T > &v)

const double *	make_random_buffer ()

double	fast_random ()

const double *	make_random_gauss_buffer ()

double	fast_random_gauss ()

const double *	fast_random_gauss_n (size_t n)

Public Attributes
HeuristicErrorTree	heuristicErrorTree

std::vector< double >	solution

std::vector< Individual >	population

int	populationSize

int	eliteCount

std::vector< Individual * >	tempPool

std::vector< Individual >	tempOffspring

std::vector< double >	initialGuess

bool	opt_no_wipeout

bool	linear_fitness

bool	in_final_adjustment_loop

bool	in_adjustment_2

bool	in_get_solution_fitness

Public Attributes inherited from bio_ik::IKBase
IKParams	params

RobotFK	model

RobotInfo	modelInfo

int	thread_index

Problem	problem

std::vector< Frame >	null_tip_frames

volatile int	canceled

std::vector< double >	temp_active_variable_positions

Public Attributes inherited from bio_ik::Random
std::minstd_rand	rng

std::normal_distribution< double >	normal_distribution

XORShift64	_xorshift

const double *	random_buffer

size_t	random_buffer_index

const double *	random_gauss_buffer

size_t	random_gauss_index

Additional Inherited Members
Static Public Attributes inherited from bio_ik::Random
static const size_t	random_buffer_size = 1024 * 1024 * 8

Detailed Description

Definition at line 40 of file ik_evolution_1.cpp.

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

src/ik_evolution_1.cpp

Classes

Public Member Functions

Public Attributes

Additional Inherited Members

Detailed Description