Uses of Record Class
org.ddolib.examples.talentscheduling.TSState

Packages that use TSState

Package	Description
org.ddolib.examples.talentscheduling	This package implements the acs, astar and ddo models for the Talent Scheduling problem (talentSched).

Uses of TSState in org.ddolib.examples.talentscheduling

Methods in org.ddolib.examples.talentscheduling that return TSState

Modifier and Type	Method	Description
TSState	TSProblem.initialState()
TSState	TSRelax.mergeStates(Iterator<TSState> states)	Merges multiple TSState instances into a single relaxed state.
TSState	TSProblem.transition(TSState state, Decision decision)

Methods in org.ddolib.examples.talentscheduling with parameters of type TSState

Modifier and Type	Method	Description
int	TSRanking.compare(TSState o1, TSState o2)	Compares two TSState instances based on the total number of scenes in their remainingScenes and maybeScenes sets.
double	TSDistance.distance(TSState a, TSState b)
Iterator<Integer>	TSProblem.domain(TSState state, int var)
double	TSFastLowerBound.fastLowerBound(TSState state, Set<Integer> variables)	Computes a fast lower bound on the total cost from the given partial state.
BitSet	TSProblem.onLocationActors(TSState state)	Returns the set of actors already present on location at the current state, i.e., actors involved in past scenes and needed for future scenes.
double	TSRelax.relaxEdge(TSState from, TSState to, TSState merged, Decision d, double cost)	Returns the relaxed edge cost between two states.
TSState	TSProblem.transition(TSState state, Decision decision)
double	TSProblem.transitionCost(TSState state, Decision decision)

Method parameters in org.ddolib.examples.talentscheduling with type arguments of type TSState

Modifier and Type	Method	Description
TSState	TSRelax.mergeStates(Iterator<TSState> states)	Merges multiple TSState instances into a single relaxed state.