Uses of Class
net.sf.cpsolver.ifs.solution.Solution

Packages that use Solution

net.sf.cpsolver.coursett	University Course Timetabling.
net.sf.cpsolver.coursett.heuristics	University Course Timetabling: Heuristics.
net.sf.cpsolver.exam.heuristics	Examination Timetabling: Solution Heuristics.
net.sf.cpsolver.exam.neighbours	Examination Timetabling: Various Neighbourhoods.
net.sf.cpsolver.ifs.dbt	Dynamic backtracking extension of IFS solver
net.sf.cpsolver.ifs.example.tt	Simple Timetabling Problem.
net.sf.cpsolver.ifs.extension	IFS Extensions (conflict-based statistics, maintenance of arc consistency)
net.sf.cpsolver.ifs.heuristics	IFS Heuristics (value and variable selection criteria)
net.sf.cpsolver.ifs.solution	IFS Solution (also contains solution comparator)
net.sf.cpsolver.ifs.solver	IFS Solver
net.sf.cpsolver.ifs.termination	IFS Termination (termination condition)
net.sf.cpsolver.studentsct	Student Sectioning Solver.
net.sf.cpsolver.studentsct.heuristics	Student Sectioning: Heuristics.
net.sf.cpsolver.studentsct.heuristics.selection	Student Sectioning: Various Neighbour Selection Criteria.

Uses of Solution in net.sf.cpsolver.coursett

Methods in net.sf.cpsolver.coursett that return Solution

protected Solution

TimetableSaver.getSolution() Solution to be saved

Methods in net.sf.cpsolver.coursett with parameters of type Solution

void	Test.bestCleared(Solution solution)
void	Test.bestRestored(Solution solution)
void	Test.bestSaved(Solution solution)
void	Test.getInfo(Solution solution, Dictionary info)
void	Test.getInfo(Solution solution, Dictionary info, Vector variables)
void	TimetableXMLLoader.load(Solution currentSolution)
void	Test.notify(Solution solution) Add a line into the output CSV file when a enw best solution is found.
static void	Test.printSomeStuff(Solution solution) Create info.txt with some more information about the problem
static void	Test.saveOutputCSV(Solution s, File file)
void	Test.solutionUpdated(Solution solution)

Uses of Solution in net.sf.cpsolver.coursett.heuristics

Methods in net.sf.cpsolver.coursett.heuristics with parameters of type Solution

double	TimetableComparator.bestValue(Solution currentSolution)
int	NeighbourSelectionWithSuggestions.SuggestionNeighbour.compareTo(Solution solution)
double	TimetableComparator.currentValue(Solution currentSolution)
PlacementSelection.ParamRetriever	PlacementSelection.getParameters(Solution solution, Lecture lecture, Placement placement)
boolean	TimetableComparator.isBetterThanBestSolution(Solution currentSolution)
Neighbour	NeighbourSelectionWithSuggestions.selectNeighbour(Solution solution)
Neighbour	NeighbourSelectionWithSuggestions.selectNeighbourWithSuggestions(Solution solution, Lecture lecture, int depth)
Value	PlacementSelection.selectValue(Solution solution, Variable selectedVariable)
Variable	LectureSelection.selectVariable(Solution solution)

Uses of Solution in net.sf.cpsolver.exam.heuristics

Methods in net.sf.cpsolver.exam.heuristics with parameters of type Solution

protected boolean	ExamGreatDeluge.accept(Solution solution, Neighbour neighbour) Accept neighbour
protected boolean	ExamSimulatedAnnealing.accept(Solution solution, Neighbour neighbour) True if the given neighboir is to be be accepted
void	ExamGreatDeluge.bestCleared(Solution solution)
void	ExamHillClimbing.bestCleared(Solution solution)
void	ExamSimulatedAnnealing.bestCleared(Solution solution)
void	ExamGreatDeluge.bestRestored(Solution solution)
void	ExamHillClimbing.bestRestored(Solution solution)
void	ExamSimulatedAnnealing.bestRestored(Solution solution)
void	ExamGreatDeluge.bestSaved(Solution solution) Update last improving iteration count
void	ExamHillClimbing.bestSaved(Solution solution) Memorize the iteration when the last best solution was found.
void	ExamSimulatedAnnealing.bestSaved(Solution solution) Memorize the iteration when the last best solution was found.
boolean	ExamNeighbourSelection.canContinue(Solution currentSolution) Termination condition (i.e., has final phase finished)
protected void	ExamSimulatedAnnealing.cool(Solution solution) Cool temperature
Neighbour	ExamGreatDeluge.genMove(Solution solution) Generate neighbour -- select neighbourhood randomly, select neighbour
Neighbour	ExamSimulatedAnnealing.genMove(Solution solution) Generate neighbour -- select neighbourhood randomly, select neighbour
void	ExamGreatDeluge.getInfo(Solution solution, Dictionary info)
void	ExamHillClimbing.getInfo(Solution solution, Dictionary info)
void	ExamSimulatedAnnealing.getInfo(Solution solution, Dictionary info)
void	ExamGreatDeluge.getInfo(Solution solution, Dictionary info, Vector variables)
void	ExamHillClimbing.getInfo(Solution solution, Dictionary info, Vector variables)
void	ExamSimulatedAnnealing.getInfo(Solution solution, Dictionary info, Vector variables)
protected void	ExamGreatDeluge.incIter(Solution solution) Increment iteration count, update bound
protected void	ExamSimulatedAnnealing.incIter(Solution solution) Increment iteration counter, cool/reheat/restoreBest if necessary
protected void	ExamGreatDeluge.info(Solution solution) Print some information
protected void	ExamSimulatedAnnealing.reheat(Solution solution) Reheat temperature
protected void	ExamSimulatedAnnealing.restoreBest(Solution solution) restore best ever found solution
Neighbour	ExamConstruction.selectNeighbour(Solution solution) Select a neighbour.
Neighbour	ExamGreatDeluge.selectNeighbour(Solution solution) A neighbour is generated randomly untill an acceptable one is found.
Neighbour	ExamHillClimbing.selectNeighbour(Solution solution) Select one of the given neighbourhoods randomly, select neighbour, return it if its value is below or equal to zero (continue with the next selection otherwise).
Neighbour	ExamNeighbourSelection.selectNeighbour(Solution solution) Neighbour selection.
Neighbour	ExamSimulatedAnnealing.selectNeighbour(Solution solution) Select neighbour -- generate a move ExamSimulatedAnnealing.genMove(Solution) until an acceptable neighbour is found ExamSimulatedAnnealing.accept(Solution, Neighbour), keep increasing iteration ExamSimulatedAnnealing.incIter(Solution).
Neighbour	ExamTabuSearch.selectNeighbour(Solution solution) Neighbor selection
Value	ExamTabuSearch.selectValue(Solution solution, Variable variable) Value selection
Variable	ExamUnassignedVariableSelection.selectVariable(Solution solution) Variable selection
void	ExamGreatDeluge.solutionUpdated(Solution solution)
void	ExamHillClimbing.solutionUpdated(Solution solution)
void	ExamSimulatedAnnealing.solutionUpdated(Solution solution)

Uses of Solution in net.sf.cpsolver.exam.neighbours

Methods in net.sf.cpsolver.exam.neighbours with parameters of type Solution

Neighbour	ExamRandomMove.selectNeighbour(Solution solution) Select an exam randomly, select an available period randomly (from Exam.getPeriodPlacements()), select rooms using Exam.findBestAvailableRooms(ExamPeriodPlacement).
Neighbour	ExamRoomMove.selectNeighbour(Solution solution) Select an exam randomly, select an available period randomly (if it is not assigned, from Exam.getPeriodPlacements()), select rooms using Exam.findRoomsRandom(ExamPeriodPlacement)
Neighbour	ExamTimeMove.selectNeighbour(Solution solution) Select an exam randomly, select an available period randomly (if it is not assigned), use rooms if possible, select rooms using Exam.findBestAvailableRooms(ExamPeriodPlacement) if not (exam is unassigned, a room is not available or used).

Uses of Solution in net.sf.cpsolver.ifs.dbt

Methods in net.sf.cpsolver.ifs.dbt with parameters of type Solution

Value	DbtValueSelection.selectValue(Solution solution, Variable selectedVariable) Value selection
Variable	DbtVariableSelection.selectVariable(Solution solution) Variable selection

Uses of Solution in net.sf.cpsolver.ifs.example.tt

Methods in net.sf.cpsolver.ifs.example.tt with parameters of type Solution

void	TimetableModel.saveAsXML(DataProperties cfg, boolean gen, Solution solution, File outFile)

Uses of Solution in net.sf.cpsolver.ifs.extension

Methods in net.sf.cpsolver.ifs.extension with parameters of type Solution

void	SearchIntensification.bestCleared(Solution solution)
void	SearchIntensification.bestRestored(Solution solution)
void	SearchIntensification.bestSaved(Solution solution)
void	SearchIntensification.getInfo(Solution solution, Dictionary info)
void	SearchIntensification.getInfo(Solution solution, Dictionary info, Vector variables)
void	SearchIntensification.solutionUpdated(Solution solution)

Uses of Solution in net.sf.cpsolver.ifs.heuristics

Fields in net.sf.cpsolver.ifs.heuristics declared as Solution

protected Solution

BacktrackNeighbourSelection.iSolution

Methods in net.sf.cpsolver.ifs.heuristics with parameters of type Solution

void	RoundRobinNeighbourSelection.changeSelection(Solution solution) Change selection
int	BacktrackNeighbourSelection.BackTrackNeighbour.compareTo(Solution solution) Compare two neighbours
Neighbour	BacktrackNeighbourSelection.selectNeighbour(Solution solution) Select neighbour.
Neighbour	NeighbourSelection.selectNeighbour(Solution solution) select a neighbour of a given solution
Neighbour	RoundRobinNeighbourSelection.selectNeighbour(Solution solution) Select neighbour.
Neighbour	StandardNeighbourSelection.selectNeighbour(Solution solution) Select neighbour.
Neighbour	BacktrackNeighbourSelection.selectNeighbour(Solution solution, Variable variable) Select neighbour -- starts from the provided variable.
Value	GeneralValueSelection.selectValue(Solution solution, Variable selectedVariable) Value selecion
Value	StandardNeighbourSelection.selectValue(Solution solution, Variable variable) Use the provided value selection criterion to select a value to the selected variable
Value	ValueSelection.selectValue(Solution solution, Variable selectedVariable) Value selection
Variable	GeneralVariableSelection.selectVariable(Solution solution) Variable selection
Variable	StandardNeighbourSelection.selectVariable(Solution solution) Use the provided variable selection criterion to select a variable
Variable	VariableSelection.selectVariable(Solution solution) Variable selection

Uses of Solution in net.sf.cpsolver.ifs.solution

Methods in net.sf.cpsolver.ifs.solution with parameters of type Solution

void	SolutionListener.bestCleared(Solution solution) Called by the solution when method clearBest() is called.
void	SolutionListener.bestRestored(Solution solution) Called by the solution when method restoreBest() is called.
void	SolutionListener.bestSaved(Solution solution) Called by the solution when method saveBest() is called.
void	SolutionListener.getInfo(Solution solution, Dictionary info) Called by the solution when it is asked to produce info table, see getInfo().
void	SolutionListener.getInfo(Solution solution, Dictionary info, Vector variables) Called by the solution when it is asked to produce info table, see getInfo().
boolean	GeneralSolutionComparator.isBetterThanBestSolution(Solution currentSolution)
boolean	MPPSolutionComparator.isBetterThanBestSolution(Solution currentSolution)
boolean	SolutionComparator.isBetterThanBestSolution(Solution currentSolution) Compares two solutions.
void	SolutionListener.solutionUpdated(Solution solution) Called by the solution when it is updated, see update(double).

Uses of Solution in net.sf.cpsolver.ifs.solver

Fields in net.sf.cpsolver.ifs.solver declared as Solution

protected Solution	Solver.iCurrentSolution current solution
protected Solution	Solver.iLastSolution last solution (after IFS Solver finishes)

Methods in net.sf.cpsolver.ifs.solver that return Solution

Solution	Solver.currentSolution() Current solution (during the search)
Solution	Solver.lastSolution() Last solution (when solver finishes)

Methods in net.sf.cpsolver.ifs.solver with parameters of type Solution

void	Solver.setInitalSolution(Solution solution) Sets initial solution

Uses of Solution in net.sf.cpsolver.ifs.termination

Methods in net.sf.cpsolver.ifs.termination with parameters of type Solution

boolean	GeneralTerminationCondition.canContinue(Solution currentSolution)
boolean	MPPTerminationCondition.canContinue(Solution currentSolution)
boolean	TerminationCondition.canContinue(Solution currentSolution) Returns true when the solver can continue with the next iteration

Uses of Solution in net.sf.cpsolver.studentsct

Methods in net.sf.cpsolver.studentsct that return Solution

static Solution	Test.batchSectioning(DataProperties cfg) Batch sectioning test
Solution	StudentSctBBTest.getSolution() Compute and return the sectioning solution.
protected Solution	StudentSectioningSaver.getSolution() Solution to be saved
static Solution	Test.onlineSectioning(DataProperties cfg) Online sectioning test
static Solution	Test.solveModel(StudentSectioningModel model, DataProperties cfg) Solve the student sectioning problem using IFS solver

Methods in net.sf.cpsolver.studentsct with parameters of type Solution

void	Test.TestSolutionListener.bestCleared(Solution solution)
void	Test.TestSolutionListener.bestRestored(Solution solution)
void	Test.TestSolutionListener.bestSaved(Solution solution)
void	Test.TestSolutionListener.getInfo(Solution solution, Dictionary info)
void	Test.TestSolutionListener.getInfo(Solution solution, Dictionary info, Vector variables)
static void	Test.printInfo(Solution solution, boolean computeTables, boolean computeSectInfos, boolean runChecks) Print some information about the solution
static void	Test.saveInfoToXML(Solution solution, Hashtable extra, File file) Save solution info as XML
void	Test.TestSolutionListener.solutionUpdated(Solution solution)

Uses of Solution in net.sf.cpsolver.studentsct.heuristics

Methods in net.sf.cpsolver.studentsct.heuristics with parameters of type Solution

void	StudentSctNeighbourSelection.changeSelection(Solution solution)
protected RouletteWheelSelection	RouletteWheelRequestSelection.getRoulette(Solution solution) Populate roulette wheel selection, if null or empty.
Neighbour	TwoPhaseStudentSctNeighbourSelection.RestoreDummyStudents.selectNeighbour(Solution solution) Return all (removed) dummy students into the problem
Value	EnrollmentSelection.selectValue(Solution solution, Variable selectedVariable) Value selecion
Variable	RouletteWheelRequestSelection.selectVariable(Solution solution) Variable selection.

Uses of Solution in net.sf.cpsolver.studentsct.heuristics.selection

Methods in net.sf.cpsolver.studentsct.heuristics.selection with parameters of type Solution

Neighbour	BacktrackSelection.selectNeighbour(Solution solution)
Neighbour	BranchBoundSelection.selectNeighbour(Solution solution) Select neighbour.
Neighbour	RandomUnassignmentSelection.selectNeighbour(Solution solution) With the given probabilty, a student is randomly selected to be unassigned.
Neighbour	ResectionIncompleteStudentsSelection.selectNeighbour(Solution solution) Select neighbour.
Neighbour	ResectionUnassignedStudentsSelection.selectNeighbour(Solution solution) Select neighbour.
Neighbour	RndUnProblStudSelection.selectNeighbour(Solution solution) With the given probabilty, a problematic student is randomly selected to be unassigned.
Neighbour	StandardSelection.selectNeighbour(Solution solution) Employ the provided VariableSelection and ValueSelection and return the selected value as SimpleNeighbour.
Neighbour	SwapStudentSelection.selectNeighbour(Solution solution) For each student that does not have a complete schedule, try to find a request and a student that can be moved out of an enrollment so that the selected student can be assigned to the selected request.