static cloning: all antibodies are cloned dup times, making the size of the clone population equal dup * poplationSize
inversely proportional hypermutation: better antibodies are mutated less
static pure aging - if an antibody exceeds tauB number of trials, it is replaced with a new randomly created antibody
birthPhase: if the number of antibodies that survive the aging Phase is less than populationSize, new randomly created abs are added to the population
optional elitism.

#include <AlgOptIA.h>

Inheritance diagram for OptIA:

Public Member Functions
void	registerParameters (StateP state)
	Register algorithm's parameters (if any).
bool	initialize (StateP state)
	Initialize the algorithm, read parameters from the system, do a sanity check.
bool	advanceGeneration (StateP state, DemeP deme)
	Perform a single generation on a single deme.
bool	cloningPhase (StateP state, DemeP deme, std::vector< IndividualP > &clones)
bool	hypermutationPhase (StateP state, DemeP deme, std::vector< IndividualP > &clones)
bool	agingPhase (StateP state, DemeP deme, std::vector< IndividualP > &clones)
bool	selectionPhase (StateP state, DemeP deme, std::vector< IndividualP > &clones)
bool	birthPhase (StateP state, DemeP deme, std::vector< IndividualP > &clones)
bool	replacePopulation (StateP state, DemeP deme, std::vector< IndividualP > &clones)
	replace population with the contents of the clones vector
Static Protected Member Functions
static bool	sortPopulationByFitness (IndividualP ab1, IndividualP ab2)
	sort vector of antibodies in regards to their fitness
Protected Attributes
double	ubound
double	lbound
uint	dimension
bool	areGenotypesAdded_
uint	dup
	number of clones per antibody
double	c
	mutation parameter
double	tauB
	maximum number of generations without improvement
bool	elitism
	specifies whether to use elitism or not

Detailed Description

This opt-IA implements:

static cloning: all antibodies are cloned dup times, making the size of the clone population equal dup * poplationSize
inversely proportional hypermutation: better antibodies are mutated less
static pure aging - if an antibody exceeds tauB number of trials, it is replaced with a new randomly created antibody
birthPhase: if the number of antibodies that survive the aging Phase is less than populationSize, new randomly created abs are added to the population
optional elitism.

opt-IA algorithm accepts only a single FloatingPoint genotype. Additionally, opt-IA adds a FloatingPoint genotype (age).

Definition at line 22 of file AlgOptIA.h.

Member Function Documentation

bool OptIA::advanceGeneration	(	StateP	,
		DemeP
	)			`[virtual]`

Perform a single generation on a single deme.

Must be implemented by a specific algorithm class

Implements Algorithm.

Definition at line 93 of file AlgOptIA.cpp.

bool OptIA::initialize ( StateP ) [virtual]

Initialize the algorithm, read parameters from the system, do a sanity check.

Called by the system before the algorithm starts (Algorithm::advanceGeneration)

Reimplemented from Algorithm.

Definition at line 29 of file AlgOptIA.cpp.

void OptIA::registerParameters ( StateP ) [virtual]

Register algorithm's parameters (if any).

Called by the system before algorithm initialization (Algorithm::initialize)

Reimplemented from Algorithm.

Definition at line 16 of file AlgOptIA.cpp.

The documentation for this class was generated from the following files: