#include <rmol/command/Optimiser.hpp>

Static Public Member Functions
static void	optimalOptimisationByMCIntegration (const stdair::NbOfSamples_T &, stdair::LegCabin &)
static void	optimalOptimisationByDP (stdair::LegCabin &)
static void	heuristicOptimisationByEmsr (stdair::LegCabin &)
static void	heuristicOptimisationByEmsrA (stdair::LegCabin &)
static void	heuristicOptimisationByEmsrB (stdair::LegCabin &)
static bool	optimise (stdair::FlightDate &, const stdair::OptimisationMethod &)
static bool	buildVirtualClassListForLegBasedOptimisation (stdair::LegCabin &)
static double	optimiseUsingOnDForecast (stdair::FlightDate &, const bool &iReduceFluctuations=false)

Detailed Description

Class wrapping the optimisation algorithms.

Definition at line 20 of file Optimiser.hpp.

Member Function Documentation

void RMOL::Optimiser::optimalOptimisationByMCIntegration	(	const stdair::NbOfSamples_T &	K,
		stdair::LegCabin &	ioLegCabin
	)

static

Monte Carlo Integration algorithm.
Calculate the optimal protections for the set of buckets/classes given in input, and update those buckets accordingly.
The Monte Carlo Integration algorithm (see The Theory and Practice of Revenue Management, by Kalyan T. Talluri and Garret J. van Ryzin, Kluwer Academic Publishers, for the details) is used. Hence, K is the number of random draws to perform. 100 is a minimum for K, as statistics must be drawn from those random generations.

Definition at line 30 of file Optimiser.cpp.

void RMOL::Optimiser::optimalOptimisationByDP ( stdair::LegCabin & ioLegCabin )

static

Dynamic Programming.

Definition at line 64 of file Optimiser.cpp.

void RMOL::Optimiser::heuristicOptimisationByEmsr ( stdair::LegCabin & ioLegCabin )

static

EMRS algorithm.

Definition at line 69 of file Optimiser.cpp.

void RMOL::Optimiser::heuristicOptimisationByEmsrA ( stdair::LegCabin & ioLegCabin )

static

EMRS-a algorithm.

Definition at line 74 of file Optimiser.cpp.

void RMOL::Optimiser::heuristicOptimisationByEmsrB ( stdair::LegCabin & ioLegCabin )

static

EMRS-b algorithm.

Definition at line 79 of file Optimiser.cpp.

bool RMOL::Optimiser::optimise	(	stdair::FlightDate &	ioFlightDate,
		const stdair::OptimisationMethod &	iOptimisationMethod
	)

static

Optimise a flight-date using leg-based Monte Carlo Integration.

Definition at line 84 of file Optimiser.cpp.

bool RMOL::Optimiser::buildVirtualClassListForLegBasedOptimisation ( stdair::LegCabin & ioLegCabin )

static

Build the virtual class list for the given leg-cabin.

Definition at line 164 of file Optimiser.cpp.

double RMOL::Optimiser::optimiseUsingOnDForecast	(	stdair::FlightDate &	ioFlightDate,
		const bool &	iReduceFluctuations = `false`
	)

static

Optimiser

Definition at line 247 of file Optimiser.cpp.

References RMOL::MCOptimiser::optimisationByMCIntegration().

Referenced by RMOL::RMOL_Service::optimiseOnD(), RMOL::RMOL_Service::optimiseOnDUsingAdvancedRMCooperation(), and RMOL::RMOL_Service::optimiseOnDUsingRMCooperation().

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

rmol/command/Optimiser.hpp
rmol/command/Optimiser.cpp

Static Public Member Functions

Detailed Description

Member Function Documentation