A B C D E F G H I L M P R S T V

S

SAT - package SAT

SAT - Class in SAT

This class implements the SAT problem domain.

SAT(long) - Constructor for class SAT.SAT

Constructs a new SAT object with a seed for the random number generator.

setDepthOfSearch(double) - Method in class AbstractClasses.ProblemDomain

Sets the parameter specifying the extent to which a local search heuristic will modify the solution.

setDepthOfSearch(double) - Method in class SAT.SAT

setIntensityOfMutation(double) - Method in class AbstractClasses.ProblemDomain

Sets the parameter specifying the extent to which a mutation or ruin-recreate low level heuristic will mutate the solution.

setIntensityOfMutation(double) - Method in class SAT.SAT

setMemorySize(int) - Method in class AbstractClasses.ProblemDomain

Sets the size of the array where the solutions are stored.

setMemorySize(int) - Method in class BinPacking.BinPacking

setMemorySize(int) - Method in class FlowShop.FlowShop

setMemorySize(int) - Method in class PersonnelScheduling.PersonnelScheduling

setMemorySize(int) - Method in class SAT.SAT

setTimeLimit(long) - Method in class AbstractClasses.HyperHeuristic

Sets the time limit for the hyper-heuristic in milliseconds.

solutionToString(int) - Method in class AbstractClasses.ProblemDomain

Gets a String representation of a given solution in memory

solutionToString(int) - Method in class BinPacking.BinPacking

solutionToString(int) - Method in class FlowShop.FlowShop

solutionToString(int) - Method in class PersonnelScheduling.PersonnelScheduling

solutionToString(int) - Method in class SAT.SAT

solve(ProblemDomain) - Method in class AbstractClasses.HyperHeuristic

Solves the instance of the problem domain which is provided as an argument.

solve(ProblemDomain) - Method in class Examples.ExampleHyperHeuristic1

This method defines the strategy of the hyper-heuristic

solve(ProblemDomain) - Method in class Examples.ExampleHyperHeuristic2

This method defines the strategy of the hyper-heuristic

solve(ProblemDomain) - Method in class Examples.ExampleHyperHeuristic3

This method defines the strategy of the hyper-heuristic