galib::DifferentialEvolutionGA< GeneType > Class Template Reference

#include <DifferentialEvolutionGA.h>

Inheritance diagram for galib::DifferentialEvolutionGA< GeneType >:

Public Member Functions
	DifferentialEvolutionGA (FitnessFunction< GeneType > &ff, double f_weight, double cr_rate, std::size_t max_gen, std::size_t threads=1)
void	run (Population< GeneType > &population) override
	Executes the optimization process on the given population.
Public Member Functions inherited from galib::Algorithm< GeneType >
virtual	~Algorithm ()=default
virtual void	enableConsoleLogging (const std::size_t interval)
	Enables logging of progress to the standard output.
virtual void	enableFileLogging (const std::string &path, std::size_t interval)
	Enables logging of population snapshots to a CSV file.
virtual void	enableLogging (const std::string &)
	Placeholder for generic logging configuration.

Additional Inherited Members
Protected Member Functions inherited from galib::Algorithm< GeneType >
void	notifyLoggers (std::size_t gen, const Population< GeneType > &pop)
	Notifies all active loggers to record the current state.
Protected Attributes inherited from galib::Algorithm< GeneType >
std::unique_ptr< utils::ConsoleLogger< GeneType > >	console_logger_m
std::unique_ptr< utils::FileLogger< GeneType > >	file_logger_m

Detailed Description

template<typename GeneType = double>
class galib::DifferentialEvolutionGA< GeneType >

Definition at line 22 of file DifferentialEvolutionGA.h.

Constructor & Destructor Documentation

DifferentialEvolutionGA()

template<typename GeneType = double>

galib::DifferentialEvolutionGA< GeneType >::DifferentialEvolutionGA ( FitnessFunction< GeneType > &  ff, double  f_weight, double  cr_rate, std::size_t  max_gen, std::size_t  threads = 1  )

inline

Definition at line 41 of file DifferentialEvolutionGA.h.

Member Function Documentation

run()

template<typename GeneType = double>

void galib::DifferentialEvolutionGA< GeneType >::run ( Population< GeneType > &  population )

inlineoverridevirtual

Executes the optimization process on the given population.

This is a pure-virtual method that must be implemented by concrete algorithms (e.g., StandardGA, IslandGA).

Parameters

population

The population to optimize. Modified in-place.

Note

The population must be initialized before calling this method.

Implements galib::Algorithm< GeneType >.

Definition at line 54 of file DifferentialEvolutionGA.h.

References galib::Population< GeneType >::empty(), galib::FitnessFunction< GeneType >::evaluate(), galib::Individual< GeneType >::getGenotype(), galib::FitnessFunction< GeneType >::getLowerBound(), galib::Population< GeneType >::getNumGenes(), galib::FitnessFunction< GeneType >::getUpperBound(), galib::Algorithm< GeneType >::notifyLoggers(), galib::Individual< GeneType >::setFitness(), and galib::Population< GeneType >::size().

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

• include/algorithms/differential-evolution/DifferentialEvolutionGA.h