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C++ library of Revenue Management and Optimisation classes and functions
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RMOL::Optimiser Class Reference

#include <rmol/command/Optimiser.hpp>

List of all members.

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 

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)

Dynamic Programming.

Definition at line 64 of file Optimiser.cpp.

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

EMRS algorithm.

Definition at line 69 of file Optimiser.cpp.

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

EMRS-a algorithm.

Definition at line 74 of file Optimiser.cpp.

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

EMRS-b algorithm.

Definition at line 79 of file Optimiser.cpp.

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

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)

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 

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