MRPT  2.0.4
List of all members | Public Member Functions | Private Member Functions
mrpt::graphs::CAStarAlgorithm< T > Class Template Referenceabstract

Detailed Description

template<typename T>
class mrpt::graphs::CAStarAlgorithm< T >

This class is intended to efficiently solve graph-search problems using heuristics to determine the best path.

To use it, a solution class must be defined so that it contains all the information about any partial or complete solution. Then, a class inheriting from CAStarAlgorithm<Solution class> must also be implemented, overriding five virtual methods which define the behaviour of the solutions. These methods are isSolutionEnded, isSolutionValid, generateChildren, getHeuristic and getCost. Once both classes are generated, each object of the class inheriting from CAStarAlgorithm represents a problem who can be solved by calling getOptimalSolution. See http://en.wikipedia.org/wiki/A*_search_algorithm for details about how this algorithm works.

See also
CAStarAlgorithm::isSolutionEnded
CAStarAlgorithm::isSolutionValid
CAStarAlgorithm::generateChildren
CAStarAlgorithm::getHeuristic
CAStarAlgorithm::getCost

Definition at line 38 of file CAStarAlgorithm.h.

#include <mrpt/graphs/CAStarAlgorithm.h>

Inheritance diagram for mrpt::graphs::CAStarAlgorithm< T >:

Public Member Functions

virtual bool isSolutionEnded (const T &sol)=0
 Client code must implement this method. More...
 
virtual bool isSolutionValid (const T &sol)=0
 Client code must implement this method. More...
 
virtual void generateChildren (const T &sol, std::vector< T > &sols)=0
 Client code must implement this method. More...
 
virtual double getHeuristic (const T &sol)=0
 Client code must implement this method. More...
 
virtual double getCost (const T &sol)=0
 Client code must implement this method. More...
 
int getOptimalSolution (const T &initialSol, T &finalSol, double upperLevel=HUGE_VAL, double maxComputationTime=HUGE_VAL)
 Finds the optimal solution for a problem, using the A* algorithm. More...
 

Private Member Functions

double getTotalCost (const T &sol)
 Calculates the total cost (known+estimated) of a solution. More...
 

Member Function Documentation

◆ generateChildren()

template<typename T>
virtual void mrpt::graphs::CAStarAlgorithm< T >::generateChildren ( const T &  sol,
std::vector< T > &  sols 
)
pure virtual

Client code must implement this method.

Given a partial solution, returns all its children solution, regardless of their validity or completeness.

Implemented in CAStarExample.

Referenced by mrpt::graphs::CAStarAlgorithm< CCoinDistribution >::getOptimalSolution().

Here is the caller graph for this function:

◆ getCost()

template<typename T>
virtual double mrpt::graphs::CAStarAlgorithm< T >::getCost ( const T &  sol)
pure virtual

Client code must implement this method.

Given a (possibly partial) solution, calculates its cost so far. This cost must not decrease with each step. That is, a solution cannot have a smaller cost than the previous one from which it was generated.

Implemented in CAStarExample.

Referenced by mrpt::graphs::CAStarAlgorithm< CCoinDistribution >::getTotalCost().

Here is the caller graph for this function:

◆ getHeuristic()

template<typename T>
virtual double mrpt::graphs::CAStarAlgorithm< T >::getHeuristic ( const T &  sol)
pure virtual

Client code must implement this method.

Given a partial solution, estimates the cost of the remaining (unknown) part. This cost must always be greater or equal to zero, and not greater than the actual cost. Thus, must be 0 if the solution is complete.

Implemented in CAStarExample.

Referenced by mrpt::graphs::CAStarAlgorithm< CCoinDistribution >::getTotalCost().

Here is the caller graph for this function:

◆ getOptimalSolution()

template<typename T>
int mrpt::graphs::CAStarAlgorithm< T >::getOptimalSolution ( const T &  initialSol,
T &  finalSol,
double  upperLevel = HUGE_VAL,
double  maxComputationTime = HUGE_VAL 
)
inline

Finds the optimal solution for a problem, using the A* algorithm.

Returns whether an optimal solution was actually found. Returns 0 if no solution was found, 1 if an optimal solution was found and 2 if a (possibly suboptimal) solution was found but the time lapse ended.

Definition at line 91 of file CAStarAlgorithm.h.

◆ getTotalCost()

template<typename T>
double mrpt::graphs::CAStarAlgorithm< T >::getTotalCost ( const T &  sol)
inlineprivate

Calculates the total cost (known+estimated) of a solution.

Definition at line 78 of file CAStarAlgorithm.h.

Referenced by mrpt::graphs::CAStarAlgorithm< CCoinDistribution >::getOptimalSolution().

Here is the caller graph for this function:

◆ isSolutionEnded()

template<typename T>
virtual bool mrpt::graphs::CAStarAlgorithm< T >::isSolutionEnded ( const T &  sol)
pure virtual

Client code must implement this method.

Returns true if the given solution is complete.

Implemented in CAStarExample.

Referenced by mrpt::graphs::CAStarAlgorithm< CCoinDistribution >::getOptimalSolution().

Here is the caller graph for this function:

◆ isSolutionValid()

template<typename T>
virtual bool mrpt::graphs::CAStarAlgorithm< T >::isSolutionValid ( const T &  sol)
pure virtual

Client code must implement this method.

Returns true if the given solution is acceptable, that is, doesn't violate the problem logic.

Implemented in CAStarExample.

Referenced by mrpt::graphs::CAStarAlgorithm< CCoinDistribution >::getOptimalSolution().

Here is the caller graph for this function:



Page generated by Doxygen 1.8.14 for MRPT 2.0.4 Git: 33de1d0ad Sat Jun 20 11:02:42 2020 +0200 at sáb jun 20 17:35:17 CEST 2020