Uses of Interface
org.ddolib.modeling.AwAstarModel

Packages that use AwAstarModel

Package	Description
org.ddolib.awastar.core.solver	This contains the implementation of a Anytime Weighted A* solver for decision diagram-based optimization problems.
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 AwAstarModel in org.ddolib.awastar.core.solver

Constructors in org.ddolib.awastar.core.solver with parameters of type AwAstarModel

Modifier	Constructor	Description
	AwAstarSolver(AwAstarModel<T> model)	Constructs a solver via a AwAstarModel.

Uses of AwAstarModel in org.ddolib.modeling

Methods in org.ddolib.modeling that return AwAstarModel

Modifier and Type	Method	Description
default AwAstarModel<T>	AwAstarModel.setWeight(double w)	Returns a copy of this model but with another weight.

Methods in org.ddolib.modeling with parameters of type AwAstarModel

Modifier and Type	Method	Description
static <T> Solution	Solvers.minimizeAwAStar(AwAstarModel<T> model)	Solves the given model using the Anytime Weighted A* (AWA*) algorithm.
static <T> Solution	Solvers.minimizeAwAStar(AwAstarModel<T> model, BiConsumer<int[],SearchStatistics> onSolution)	Solves the given model using AWA* and calls the callback when a new incumbent is found.
static <T> Solution	Solvers.minimizeAwAStar(AwAstarModel<T> model, Predicate<SearchStatistics> limit)	Solves the given model using AWA*, stopping when the limit condition is satisfied.
static <T> Solution	Solvers.minimizeAwAStar(AwAstarModel<T> model, Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)	Core method for solving a model with the Anytime Weighted A* search algorithm, with custom limit and callback.