UnimodalFunctionHeuristic Class Reference

An unimodal function for two movements and their fixed total time. More...

Collaboration diagram for UnimodalFunctionHeuristic:

Public Member Functions
	UnimodalFunctionHeuristic (Movement *mv1, Movement *mv2, double duration)
	Constructor initializes the member variables. More...
double	tolerance () const
pair< double, double >	durations (const double &alpha) const
	Calculates durations of the movements based on the relative step. More...
double	functionValue (const double &alpha) const
	Returns a function value, i.e. total energy consumption of both movements. More...

Private Attributes
double	mDirection
	A maximal possible difference in duration for both the movements.
double	mFromX
	The minimal duration of the first movement.
double	mToX
	The maximal duration of the first movement.
Movement *	mMv1
	The first movement to be considered.
Movement *	mMv2
	The second movement to be considered.
double	mTotalDuration
	The time needed for both the movements is equal to this fixed value.

Detailed Description

An unimodal function for two movements and their fixed total time.

An unimodal convex function, represented by this class, can be used in the Golden Section search algorithm to find optimal timing of two movements where their total time is fixed.

See also

goldenSearch, HeuristicAlgorithms::heuristicLocationChanges

Definition at line 36 of file HeuristicAlgorithms.cpp.

Constructor & Destructor Documentation

UnimodalFunctionHeuristic::UnimodalFunctionHeuristic ( Movement *  mv1, Movement *  mv2, double  duration  )

inline

Constructor initializes the member variables.

Parameters

mv1,mv2	Movements which optimal duration is to be determined.
duration	The total time, considered to be fixed, needed for both the movements.

Definition at line 43 of file HeuristicAlgorithms.cpp.

Member Function Documentation

pair<double, double> UnimodalFunctionHeuristic::durations ( const double &  alpha ) const

inline

Calculates durations of the movements based on the relative step.

Parameters

alpha

A step, i.e. a value from 0 to 1, used for obtaining the timing of the movements.

Definition at line 71 of file HeuristicAlgorithms.cpp.

double UnimodalFunctionHeuristic::functionValue ( const double &  alpha ) const

inline

Returns a function value, i.e. total energy consumption of both movements.

Parameters

alpha

Variable value corresponding to a relative step.

Definition at line 87 of file HeuristicAlgorithms.cpp.

double UnimodalFunctionHeuristic::tolerance ( ) const

inline

As there is no use to solve the timing of movements with too high precision, is enough in the most cases, this method returns a relative tolerance ensuring that Golden Section search is stopped if just enough precise solution is found.

Definition at line 60 of file HeuristicAlgorithms.cpp.

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

• /home/bukatlib/Downloads/SolverEquationsGeneratedAsImages/src/HeuristicSolver/HeuristicAlgorithms.cpp