Class StochasticLocalSearchOnConstrProb
java.lang.Object
org.tweetyproject.math.opt.solver.Solver
org.tweetyproject.math.opt.solver.StochasticLocalSearchOnConstrProb
Stochastic Local Search On Constraint Problem
- Author:
- Sebastian Franke
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Constructor Summary
ConstructorDescriptionStochasticLocalSearchOnConstrProb
(int maxIteration, int maxStepsWithNoImprove, double chanceForRandomStep) -
Method Summary
Modifier and TypeMethodDescriptionchooseANeighbor
(Map<Variable, Term> currSol, int minIterations, int maxIterations, double threshold, Term targetFunc) Computes a solution to the given constraint satisfaction or optimization problem, i.e.Methods inherited from class org.tweetyproject.math.opt.solver.Solver
getDefaultGeneralSolver, getDefaultIntegerLinearSolver, getDefaultLinearSolver, hasDefaultGeneralSolver, hasDefaultIntegerLinearSolver, hasDefaultLinearSolver, isInstalled, setDefaultGeneralSolver, setDefaultIntegerLinearSolver, setDefaultLinearSolver
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Constructor Details
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StochasticLocalSearchOnConstrProb
public StochasticLocalSearchOnConstrProb(int maxIteration, int maxStepsWithNoImprove, double chanceForRandomStep)
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Method Details
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chooseANeighbor
public Map<Variable,Term> chooseANeighbor(Map<Variable, Term> currSol, int minIterations, int maxIterations, double threshold, Term targetFunc) - Parameters:
minIterations
- : the minimum amount of solutions to be createdmaxIterations
- : the maximum amount of solutions to be createdthreshold
- : if a solution with the quality of threshold is reached we do maximum 10 more triescurrSol
- : the solution that every newly created solution uses as a initial solution in createNewSol- Returns:
- the best solution that was found and is a mutant of currSol
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solve
public Map<Variable,Term> solve(GeneralConstraintSatisfactionProblem problem) throws GeneralMathException Description copied from class:Solver
Computes a solution to the given constraint satisfaction or optimization problem, i.e. a mapping from variables of the problem to terms.- Specified by:
solve
in classSolver
- Parameters:
problem
- the actual problem- Returns:
- a mapping from variables of the problem to terms.
- Throws:
GeneralMathException
- if something went wrong.
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