MoEA Class Reference

Abstract class representing Multi-objective Evolutionary Algorithms.

#include <MoEA.h>

Inheritance diagram for MoEA:

List of all members.

Public Member Functions
	MoEA (MultiobjectiveProblem *problemToSolve, MutationOperator mutationOperator, CrossoverOperator crossoverOperator)
	Constructor.
bool	crossover (Individual *parent1, Individual *parent2, Individual **child1, Individual **child2)
	Applies the crossover operator to two parents, yielding two children.
int	mutation (Individual *individual)
	Applies the mutation operator to an individual.
virtual Individual *	getBestIndividual (Population *)
	Returns the best individual in the population.
virtual Individual *	getWorstIndividual (Population *)
	Returns the worst individual in the population.
virtual void	merge (Population *, Individual *)
	Merges an individual into a population.
virtual void	merge (Population *, Population *)
	Merges two population.
virtual void	start ()=0
virtual void	readConfigurationData ()=0
virtual void	printStatistics ()=0
void	printVariablesToFile (char *variableFile, Population *population)
	Prints the values of the decision variables of the individuals of a population.
void	printFunctionValuesToFile (char *functionFile, Population *population)
	Prints the function values of the individuals of a population.
Public Attributes
int	numberOfIterations_
int	maximumNumberOfIterations_
int	maximumNumberOfFitnessEvaluations_
int	numberOfFitnessEvaluations_
int	numberOfMutations_
int	numberOfCrossovers_
double	mutationProbability_
double	crossoverProbability_
double	distributionIndexForMutation_
double	distributionIndexForCrossover_
double	perturbationForMutation_
double	alpha_
double	bMutationParameter_
double	lambda_
MutationOperator	mutationOperator_
CrossoverOperator	crossoverOperator_
MultiobjectiveProblem *	problem_
	Problem to be solved.
Random	random_
int	seed_
time_t	startTime_
time_t	endTime_
int	printFrequency_

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Detailed Description

Definition at line 26 of file MoEA.h.

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Constructor & Destructor Documentation

MoEA::MoEA (  MultiobjectiveProblem *  problemToSolve, MutationOperator  mutationOperator, CrossoverOperator  crossoverOperator )

Definition at line 15 of file MoEA.cpp. References alpha_, bMutationParameter_, crossoverOperator_, crossoverProbability_, distributionIndexForCrossover_, distributionIndexForMutation_, lambda_, mutationOperator_, mutationProbability_, numberOfCrossovers_, numberOfFitnessEvaluations_, numberOfIterations_, numberOfMutations_, perturbationForMutation_, printFrequency_, problem_, and seed_.

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Member Function Documentation

bool MoEA::crossover (  Individual *  parent1, Individual *  parent2, Individual **  child1, Individual **  child2 )

Returns: 1 if the crossover has been carried o ut, 0 otherwise Definition at line 46 of file MoEA.cpp. References ALGEBRAIC_EXPLORATIVE, ALGEBRAIC_EXPLOTATIVE, Individual::algebraicExplorative(), Individual::algebraicExplotative(), alpha_, Individual::BLX_Alpha(), BLX_ALPHA, crossoverOperator_, crossoverProbability_, distributionIndexForCrossover_, EINSTEIN_EXPLORATIVE, EINSTEIN_EXPLOTATIVE, Individual::einsteinExplorative(), Individual::einsteinExplotative(), HAMACHER_EXPLORATIVE, HAMACHER_EXPLOTATIVE, Individual::hamacherExplorative(), Individual::hamacherExplotative(), lambda_, LOGICAL_EXPLORATIVE, LOGICAL_EXPLOTATIVE, Individual::logicalExplorative(), Individual::logicalExplotative(), mutationOperator_, SIMULATED_BINARY, Individual::simulatedBinaryCrossover(), SINGLE_POINT, and Individual::singlePointCrossover().

Individual * MoEA::getBestIndividual (  Population *  population  )  [virtual]

Returns: The best individual Definition at line 214 of file MoEA.cpp.

Individual * MoEA::getWorstIndividual (  Population *  population  )  [virtual]

Returns: The worst individual Definition at line 223 of file MoEA.cpp.

void MoEA::merge (  Population *  resultPopulation, Population *  population )  [virtual]

Parameters: resultPopulation  The result population population  The population to merge into the resultPopulation Definition at line 243 of file MoEA.cpp.

void MoEA::merge (  Population *  population, Individual *  individual )  [virtual]

Parameters: population  The population where the individual is to be merged individual  The individual to merge into the population Definition at line 233 of file MoEA.cpp.

int MoEA::mutation (  Individual *  individual  )

Returns: 1 if the individual has been mutated, 0 otherwise Definition at line 148 of file MoEA.cpp. References BIT_FLIP, Individual::bitFlipMutation(), bMutationParameter_, distributionIndexForMutation_, maximumNumberOfIterations_, mutationOperator_, mutationProbability_, NON_UNIFORM, Individual::nonUniformMutation(), numberOfIterations_, perturbationForMutation_, POLYNOMIAL, Individual::polynomialMutation(), RANDOM, Individual::randomMutation(), TWO_POINTS_INTERCHANGE, Individual::twoPointsInterchange(), UNIFORM, and Individual::uniformMutation(). Referenced by Ssmo2::improvement(), Ssmo1::improvement(), and AbYSS::improvement().

void MoEA::printFunctionValuesToFile (  char *  fitnessFileName, Population *  population )

Parameters: fitnessFileName  The name of the file to store the values of the objective functions population  The population where the individuals belong to Definition at line 205 of file MoEA.cpp. References Population::printFitness(). Referenced by Ssmo::printToFiles(), Nsga2::printToFiles(), and AbYSS::printToFiles().

virtual void MoEA::printStatistics (   )  [pure virtual]

Implemented in AbYSS, Nsga2, and Ssmo.

void MoEA::printVariablesToFile (  char *  genotypeFileName, Population *  population )

Parameters: genotypeFileName  The name of the file to store the decision variables population  The population where the individuals belong to Definition at line 193 of file MoEA.cpp. References Population::printGenotype(). Referenced by Ssmo::printToFiles(), Nsga2::printToFiles(), and AbYSS::printToFiles().

virtual void MoEA::readConfigurationData (   )  [pure virtual]

Implemented in AbYSS, Nsga2, and Ssmo.

virtual void MoEA::start (   )  [pure virtual]

Implemented in AbYSS, Nsga2, and Ssmo.

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Member Data Documentation

double MoEA::alpha_

Definition at line 40 of file MoEA.h. Referenced by crossover(), MoEA(), and Nsga2::Nsga2().

double MoEA::bMutationParameter_

Definition at line 41 of file MoEA.h. Referenced by MoEA(), and mutation().

CrossoverOperator MoEA::crossoverOperator_

Definition at line 45 of file MoEA.h. Referenced by crossover(), MoEA(), and Nsga2::Nsga2().

double MoEA::crossoverProbability_

Definition at line 36 of file MoEA.h. Referenced by crossover(), MoEA(), and Nsga2::Nsga2().

double MoEA::distributionIndexForCrossover_

Definition at line 38 of file MoEA.h. Referenced by crossover(), MoEA(), Nsga2::Nsga2(), and AbYSS::solutionCombination().

double MoEA::distributionIndexForMutation_

Definition at line 37 of file MoEA.h. Referenced by AbYSS::AbYSS(), MoEA(), mutation(), Nsga2::Nsga2(), and Ssmo::Ssmo().

time_t MoEA::endTime_

Definition at line 53 of file MoEA.h. Referenced by Ssmo::printStatistics(), Nsga2::printStatistics(), and AbYSS::printStatistics().

double MoEA::lambda_

Definition at line 42 of file MoEA.h. Referenced by crossover(), and MoEA().

int MoEA::maximumNumberOfFitnessEvaluations_

Definition at line 30 of file MoEA.h. Referenced by AbYSS::AbYSS(), and Ssmo::Ssmo().

int MoEA::maximumNumberOfIterations_

Definition at line 29 of file MoEA.h. Referenced by AbYSS::AbYSS(), mutation(), Nsga2::Nsga2(), and Ssmo::Ssmo().

MutationOperator MoEA::mutationOperator_

Definition at line 44 of file MoEA.h. Referenced by crossover(), MoEA(), mutation(), and Nsga2::Nsga2().

double MoEA::mutationProbability_

Definition at line 35 of file MoEA.h. Referenced by AbYSS::AbYSS(), MoEA(), mutation(), Nsga2::Nsga2(), and Ssmo::Ssmo().

int MoEA::numberOfCrossovers_

Definition at line 33 of file MoEA.h. Referenced by MoEA(), and Nsga2::Nsga2().

int MoEA::numberOfFitnessEvaluations_

Definition at line 31 of file MoEA.h. Referenced by Ssmo2::improvement(), Ssmo1::improvement(), AbYSS::improvement(), MoEA(), Nsga2::Nsga2(), Ssmo::printStatistics(), Nsga2::printStatistics(), AbYSS::printStatistics(), Ssmo2::referenceSetUpdate(), Ssmo::start(), Nsga2::start(), and AbYSS::start().

int MoEA::numberOfIterations_

Definition at line 28 of file MoEA.h. Referenced by MoEA(), mutation(), Ssmo::printStatistics(), and AbYSS::printStatistics().

int MoEA::numberOfMutations_

Definition at line 32 of file MoEA.h. Referenced by Ssmo2::improvement(), Ssmo1::improvement(), AbYSS::improvement(), MoEA(), Nsga2::Nsga2(), Ssmo::printStatistics(), and AbYSS::printStatistics().

double MoEA::perturbationForMutation_

Definition at line 39 of file MoEA.h. Referenced by MoEA(), mutation(), and Nsga2::Nsga2().

int MoEA::printFrequency_

Definition at line 55 of file MoEA.h. Referenced by MoEA(), and Nsga2::Nsga2().

MultiobjectiveProblem* MoEA::problem_

Definition at line 47 of file MoEA.h. Referenced by AbYSS::AbYSS(), Ssmo::distanceToPopulation(), AbYSS::distanceToPopulation(), Ssmo2::diversificationGeneration(), Ssmo1::diversificationGeneration(), AbYSS::diversificationGeneration(), Ssmo2::improvement(), Ssmo1::improvement(), AbYSS::improvement(), MoEA(), Nsga2::Nsga2(), Ssmo2::referenceSetUpdate(), Ssmo2::solutionCombination(), Ssmo1::solutionCombination(), AbYSS::solutionCombination(), Ssmo::Ssmo(), Ssmo1::Ssmo1(), Ssmo2::Ssmo2(), Ssmo::start(), Nsga2::start(), and AbYSS::start().

Random MoEA::random_

Definition at line 49 of file MoEA.h. Referenced by AbYSS::AbYSS(), Ssmo2::diversificationGeneration(), Ssmo1::diversificationGeneration(), AbYSS::diversificationGeneration(), Nsga2::Nsga2(), Ssmo2::solutionCombination(), Ssmo1::solutionCombination(), Ssmo::Ssmo(), and AbYSS::start().

int MoEA::seed_

Definition at line 50 of file MoEA.h. Referenced by MoEA(), and Nsga2::Nsga2().

time_t MoEA::startTime_

Definition at line 52 of file MoEA.h. Referenced by Ssmo::printStatistics(), Nsga2::printStatistics(), AbYSS::printStatistics(), Ssmo::start(), Nsga2::start(), and AbYSS::start().

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

• MoEA.h
• MoEA.cpp

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