EvolutionaryAlgorithm::Crossover< T > Class Template Reference

Abstract base class for crossover implementations. More...

#include <Crossover.h>

Inheritance diagram for EvolutionaryAlgorithm::Crossover< T >:

Public Member Functions
virtual T *	cross (T *a, T *b) const =0
bool	should_cross () const

Protected Member Functions
	Crossover (double _p_cross)

Detailed Description

template<class T>
class EvolutionaryAlgorithm::Crossover< T >

Abstract base class for crossover implementations.

If you want to create a new crossover operator, you should create a new subclass of Crossover and implement Crossover::cross function for all specimen representations that you're using. For implementation example see src/UniformCrossover.cpp.

Parameters

T	Type of specimen representation, subclass of Schedule.

Definition at line 21 of file Crossover.h.

Constructor & Destructor Documentation

template<class T >

EvolutionaryAlgorithm::Crossover< T >::Crossover ( double  _p_cross )

inlineprotected

Creates crossover operator with supplied probability.

Parameters

_p_cross

Probability of crossover.

Definition at line 31 of file Crossover.h.

Member Function Documentation

template<class T >

virtual T* EvolutionaryAlgorithm::Crossover< T >::cross ( T *  a, T *  b  ) const

pure virtual

Takes two specimen and performs crossover on them. Results in a new object.

Implemented in EvolutionaryAlgorithm::LAXCrossover< T >, EvolutionaryAlgorithm::OnePointCrossover< T >, and EvolutionaryAlgorithm::UniformCrossover< T >.

template<class T >

bool EvolutionaryAlgorithm::Crossover< T >::should_cross ( ) const

inline

Checks whether the crossover should take place.

Definition at line 42 of file Crossover.h.

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

• include/Crossover.h