NSPerformance< S > Class Template Reference

Class to represent the Novelty Search Algorithm This specialization is exclusively for EIG because it uses the vector of performance of each algorithm over the generated instance to compute novelty. More...

#include <NSPerformance.h>

Inheritance diagram for NSPerformance< S >:

Public Member Functions
	NSPerformance (unique_ptr< Distance< float >> dist, const float &threshold=2000, const float &finalThresh=2000, const int &k=15)
	Creates a new Novelty Search instance. More...
virtual json	to_json () override
	Generates a json object with the relevant information of the class. More...
Public Member Functions inherited from NoveltySearch< S >
	NoveltySearch (unique_ptr< Distance< float >> dist, const float &threshold=2000, const float &finalThresh=0.0001, const int &k=15)
	Creates a new Novelty Search instance. More...
Front< S >	getResults () override
	Returns the results obtained by the Novelty Search in a Front object. More...
vector< S >	run (vector< S > &population, const Problem< S > *problem) override
	Novelty Search Algorithm It looks for novelty using the genotypes of the individuals in the population. Computes the sparseness of each individual in the noveltyArchive and population. More...
virtual void	cmpFinals (vector< S > &population, const Problem< S > *problem=nullptr)
	Compares the individuals in the population against the neighbors inside the archive of final Ss. If the score is good enough the individual will be included inside the archive of final solutions. More...
virtual void	insertIntoArchive (const S &solution)
	Method to insert a new individual into the noveltyArchive of novelty solutions. More...
const vector< S > &	getArchive () const
float	getThreshold () const
float	getK () const
float	getFinalThresh () const
Public Member Functions inherited from Search< S >
	Search ()=default
	Constructs a default Search.

Protected Member Functions
virtual vector< Descriptor >	beforeRun (const vector< S > &population) override
	PerforS computational work necessary for running the NS This method creats a combined population using the individuals from the NS archive and the population. The resulting vector contains the average performance of each algorithm for each individual. More...
virtual vector< Descriptor >	beforeCmpFinals (const vector< S > &population) override
virtual void	insertFinal (const S &solution)
	Method to insert a new individual into the noveltyArchive of novelty Ss. More...

Additional Inherited Members
Protected Attributes inherited from NoveltySearch< S >
unique_ptr< Distance< float > >	distance
vector< S >	noveltyArchive
vector< S >	finalSs
vector< Descriptor >	finalSsDesc
float	threshold
float	finalSThreshold
int	k

Detailed Description

template<typename S>
class NSPerformance< S >

Class to represent the Novelty Search Algorithm This specialization is exclusively for EIG because it uses the vector of performance of each algorithm over the generated instance to compute novelty.

Template Parameters

Constructor & Destructor Documentation

NSPerformance()

template<typename S >

NSPerformance< S >::NSPerformance ( unique_ptr< Distance< float >>  dist, const float &  threshold = 2000, const float &  finalThresh = 2000, const int &  k = 15  )

explicit

Creates a new Novelty Search instance.

Template Parameters

P
S

Parameters

threshold
dist
k

Member Function Documentation

beforeRun()

template<typename S >

vector< Descriptor > NSPerformance< S >::beforeRun ( const vector< S > &  population )

overrideprotectedvirtual

PerforS computational work necessary for running the NS This method creats a combined population using the individuals from the NS archive and the population. The resulting vector contains the average performance of each algorithm for each individual.

Template Parameters

S

Parameters

population

Reimplemented from NoveltySearch< S >.

insertFinal()

template<typename S >

void NSPerformance< S >::insertFinal ( const S &  solution )

protectedvirtual

Method to insert a new individual into the noveltyArchive of novelty Ss.

Template Parameters

Problem
S

Parameters

S

Reimplemented from NoveltySearch< S >.

to_json()

template<typename S >

json NSPerformance< S >::to_json

overridevirtual

Generates a json object with the relevant information of the class.

Template Parameters

S

Returns

json

Reimplemented from NoveltySearch< S >.

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

• include/dignea/searches/NSPerformance.h