ProfileUpdater Class Reference

Third step of the heuristic, updates the profiles given fixed weight and lambda. More...

#include <ProfileUpdater.h>

Public Member Functions
	ProfileUpdater (Config &conf, AlternativesPerformance &altPerf_data, float epsilon=0.00001)
	ProfileUpdater (const ProfileUpdater &profUp)
std::unordered_map< float, float >	computeAboveDesirability (MRSortModel &model, std::string critId, Perf &b, Perf &b_above, Category &cat, Category &cat_above, std::unordered_map< std::string, float > &ct_prof, AlternativesPerformance &altPerf_model)
std::unordered_map< float, float >	computeBelowDesirability (MRSortModel &model, std::string critId, Perf &b, Perf &b_below, Category &cat, Category &cat_above, std::unordered_map< std::string, float > &ct_prof, AlternativesPerformance &altPerf_model)
std::pair< float, float >	chooseMaxDesirability (std::unordered_map< float, float > &desirability, Perf &b)
void	updateTables (MRSortModel &model, std::string critId, Perf &b_old, Perf &b_new, std::unordered_map< std::string, std::unordered_map< std::string, float >> &ct, AlternativesPerformance &altPerf_model)
void	optimizeProfile (std::vector< Perf > &prof, Category &cat_below, Category &cat_above, MRSortModel &model, std::unordered_map< std::string, std::unordered_map< std::string, float >> &ct, AlternativesPerformance &altPerf_model)
void	optimize (MRSortModel &model, std::unordered_map< std::string, std::unordered_map< std::string, float >> &ct, AlternativesPerformance &altPerf_model)
void	updateProfiles (MRSortModel &model)

Detailed Description

Third step of the heuristic, updates the profiles given fixed weight and lambda.

Profile Updater algorithm is responsible for updating the profiles given the fixed weight and lambda. It will evaluate each move of each profile on each criterion to see what moves have the best impact on the alternatives assignments.

Constructor & Destructor Documentation

ProfileUpdater() [1/2]

ProfileUpdater::ProfileUpdater	(	Config &	conf,
		AlternativesPerformance &	altPerf_data,
		float	epsilon = 0.00001
	)

ProfileUpdater standard constructor

Parameters

conf	conf setup for logging
altPerf_data	alternative perfomances dataset
epsilon

ProfileUpdater() [2/2]

ProfileUpdater::ProfileUpdater

(

const ProfileUpdater &

profUp

)

ProfileUpdater copy constructor

Parameters

profUp

ProfileUpdater to copy

Member Function Documentation

chooseMaxDesirability()

std::pair<float, float> ProfileUpdater::chooseMaxDesirability	(	std::unordered_map< float, float > &	desirability,
		Perf &	b
	)

chooseMaxDesirability chooses the move of the profiles that maximizes the desirability

Parameters

desirability	map of desirability
b	profile to move

Returns

profile value and associate desirability (max)

computeAboveDesirability()

std::unordered_map<float, float> ProfileUpdater::computeAboveDesirability	(	MRSortModel &	model,
		std::string	critId,
		Perf &	b,
		Perf &	b_above,
		Category &	cat,
		Category &	cat_above,
		std::unordered_map< std::string, float > &	ct_prof,
		AlternativesPerformance &	altPerf_model
	)

computeAboveDesirability computes the desirability of a move for the profile b (move up)

Parameters

model	current model
critId	crit on which we want to evaluate the move
b	profile we want to move
b_above	profile above
cat	category delimited by the profile (below)
cat_above	above category delimited by the profile
ct_prof	concordance table of the profile
altPerf_model	alternativePerformance calculated with current model

Returns

the map of potential new perf for the profile and their desirability

computeBelowDesirability()

std::unordered_map<float, float> ProfileUpdater::computeBelowDesirability	(	MRSortModel &	model,
		std::string	critId,
		Perf &	b,
		Perf &	b_below,
		Category &	cat,
		Category &	cat_above,
		std::unordered_map< std::string, float > &	ct_prof,
		AlternativesPerformance &	altPerf_model
	)

computeBelowDesirability computes the desirability of a move for the profile b (move down)

Parameters

model	current model
critId	crit on which we want to evaluate the move
b	profile we want to move
b_below	profile below
cat	category delimited by the profile (below)
cat_above	above category delimited by the profile
ct_prof	concordance table of the profile
altPerf_model	alternativePerformance calculated with current model

Returns

the map of potential new perf for the profile and their desirability

optimize()

void ProfileUpdater::optimize	(	MRSortModel &	model,
		std::unordered_map< std::string, std::unordered_map< std::string, float >> &	ct,
		AlternativesPerformance &	altPerf_model
	)

optimize Optimizes all the profiles using the profileUpdater methods.

Parameters

model	current model
ct	concordance table
altPerf_model	altPerf_model

optimizeProfile()

void ProfileUpdater::optimizeProfile	(	std::vector< Perf > &	prof,
		Category &	cat_below,
		Category &	cat_above,
		MRSortModel &	model,
		std::unordered_map< std::string, std::unordered_map< std::string, float >> &	ct,
		AlternativesPerformance &	altPerf_model
	)

optimizeProfile Optimizes one profile using the profileUpdater methods.

Parameters

prof	profile to optimize
cat_below	category delimited by the profile (below)
cat_above	category delimited by the profile (above)
model	current model
ct	concordance table
altPerf_model	altPerf_model

updateProfiles()

void ProfileUpdater::updateProfiles

(

MRSortModel &

model

)

updateProfiles Updates the profiles of the model using the metaheuristic

Parameters

model

current model

updateTables()

void ProfileUpdater::updateTables	(	MRSortModel &	model,
		std::string	critId,
		Perf &	b_old,
		Perf &	b_new,
		std::unordered_map< std::string, std::unordered_map< std::string, float >> &	ct,
		AlternativesPerformance &	altPerf_model
	)

updateTables updates model tables with new profile value

• concordance table
• alternative assignement
• profiles

Parameters

model
critId	criterion on which the profile moves
b_old	old profile perf
b_new	new profile perf
ct	concordance table to update
altPerf_model	alternativePerformance calculated with current model

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

• /Users/ThomasVindard 1/Desktop/3A/Projet/fastPL/include/learning/ProfileUpdater.h