Uses of Interface
org.ddolib.ddo.core.heuristics.cluster.StateDistance

Packages that use StateDistance

Package	Description
org.ddolib.ddo.core.heuristics.cluster	This package contains the classes and interfaces defining the heuristics which can be used to discard or merge node during the restriction or relaxation of the MDD.
org.ddolib.examples.knapsack	This package implements the acs, astar and ddo models for the Knapsack Problem (KS).
org.ddolib.examples.maximumcoverage
org.ddolib.examples.mks	The Multidimensional Knapsack Problem (MKP) is a generalization of the KP to multiple capacity constraints: $n$ items and $m$ dimensions of the knapsack are given, each dimension with capacity bound $(C_1,\ldots ,C_m)$.
org.ddolib.examples.talentscheduling	This package implements the acs, astar and ddo models for the Talent Scheduling problem (talentSched).
org.ddolib.modeling	This package contains the interfaces and abstract classes that must be implemented as problem specific classes to model a problem.It also contains default implementation.

Uses of StateDistance in org.ddolib.ddo.core.heuristics.cluster

Constructors in org.ddolib.ddo.core.heuristics.cluster with parameters of type StateDistance

Modifier	Constructor	Description
	GHP(StateDistance<T> distance)	Constructs a GHP reduction strategy with a default random seed.
	GHP(StateDistance<T> distance, long seed)	Constructs a GHP reduction strategy with a specified random seed.
	Hybrid(StateRanking<T> ranking, StateDistance<T> distance)	Constructs a Hybrid reduction strategy with default alpha (0.5) and seed.
	Hybrid(StateRanking<T> ranking, StateDistance<T> distance, double alpha, long seed)	Constructs a Hybrid reduction strategy with specified ranking, distance, alpha, and seed.

Uses of StateDistance in org.ddolib.examples.knapsack

Classes in org.ddolib.examples.knapsack that implement StateDistance

Modifier and Type	Class	Description
class	KSDistance	Distance measure for states in a Knapsack (KS) problem.

Uses of StateDistance in org.ddolib.examples.maximumcoverage

Classes in org.ddolib.examples.maximumcoverage that implement StateDistance

Modifier and Type	Class	Description
class	MaxCoverDistance	Distance function for MaxCoverState used to measure similarity between states in the context of the Maximum Coverage problem.

Uses of StateDistance in org.ddolib.examples.mks

Classes in org.ddolib.examples.mks that implement StateDistance

Modifier and Type	Class	Description
class	MKSDistance	Computes a normalized distance between Multi-dimensional Knapsack (MKS) states.

Uses of StateDistance in org.ddolib.examples.talentscheduling

Classes in org.ddolib.examples.talentscheduling that implement StateDistance

Modifier and Type	Class	Description
class	TSDistance

Uses of StateDistance in org.ddolib.modeling

Methods in org.ddolib.modeling that return StateDistance

Modifier and Type	Method	Description
default StateDistance<T>	DdoModel.stateDistance()
final StateDistance<T>	ExactModel.stateDistance()
default StateDistance<T>	LnsModel.stateDistance()	Returns a measure of distance between two states.