Configures the parameters of a genetic algorithm. More...

#include <Parameter.h>

Collaboration diagram for Algorithm_Parameters:

Public Member Functions
	Algorithm_Parameters (int gens, int popSize, std::string selection, int tourSize, std::string crossover, double crossRate, std::string mutation, double mutRate, double elitePerc, double initialTemp, double deltT, double randomSeed)
	Constructor to initialize the parameters with custom values.

Data Fields
int	maxGenerations = 1000

int	populationSize = 100

std::string	selection = "NaryTournamentSelection"

int	tournamentSize = 3

std::string	crossover = "TwoPointCrossover"

double	crossoverRate = 0.8

std::string	mutation = "GuidedMutation"

double	mutationRate = 0.1

double	elitePercentage = 0.2

double	initialTemp = 1000.0

double	deltT = 1.0

unsigned int	randomSeed = 0

Detailed Description

Configures the parameters of a genetic algorithm.

The Algorithm_Parameters structure contains various parameters used to configure the behavior of a genetic algorithm, including the number of generations, population size, tournament size, crossover rate, mutation rate, elite percentage, and random seed.

Constructor & Destructor Documentation

◆ Algorithm_Parameters()

Algorithm_Parameters::Algorithm_Parameters	(	int	gens,
		int	popSize,
		std::string	selection,
		int	tourSize,
		std::string	crossover,
		double	crossRate,
		std::string	mutation,
		double	mutRate,
		double	elitePerc,
		double	initialTemp,
		double	deltT,
		double	randomSeed )

inline

Constructor to initialize the parameters with custom values.

Parameters

gens	Maximum number of generations.
popSize	Size of the population.
tourSize	Number of individuals to select in each tournament.
crossRate	Rate at which crossover occurs.
mutRate	Rate at which mutation occurs.
elitePerc	Percentage of elite individuals to keep in the next generation.
seed	Random seed, 0 means using current time.

Field Documentation

◆ crossover

std::string Algorithm_Parameters::crossover = "TwoPointCrossover"

Crossover method

◆ crossoverRate

double Algorithm_Parameters::crossoverRate = 0.8

Rate at which crossover occurs

◆ deltT

double Algorithm_Parameters::deltT = 1.0

The temperature decrement of Simulated Annealing algorithm

◆ elitePercentage

double Algorithm_Parameters::elitePercentage = 0.2

Percentage of elite individuals to keep in the next generation

◆ initialTemp

double Algorithm_Parameters::initialTemp = 1000.0

Initial temperature of Simulated Annealing algorithm

◆ maxGenerations

int Algorithm_Parameters::maxGenerations = 1000

Maximum number of generations

◆ mutation

std::string Algorithm_Parameters::mutation = "GuidedMutation"

Mutation method

◆ mutationRate

double Algorithm_Parameters::mutationRate = 0.1

Rate at which mutation occurs

◆ populationSize

int Algorithm_Parameters::populationSize = 100

Size of the population

◆ randomSeed

unsigned int Algorithm_Parameters::randomSeed = 0

Random seed, 0 means using current time

◆ selection

std::string Algorithm_Parameters::selection = "NaryTournamentSelection"

Selection method

◆ tournamentSize

int Algorithm_Parameters::tournamentSize = 3

Number of individuals to select in each tournament

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

include/utils/Parameter.h

Public Member Functions

Data Fields