Uses of Class
org.ddolib.common.solver.Solution

Packages that use Solution

Package	Description
org.ddolib.acs.core.solver	This package implement Acs solver.
org.ddolib.astar.core.solver	This package implement As Star solver.
org.ddolib.awastar.core.solver	This contains the implementation of a Anytime Weighted A* solver for decision diagram-based optimization problems.
org.ddolib.common.solver	This package contains interfaces that must be extended to implements solvers.
org.ddolib.ddo.core.solver	This package contains solvers using DDO algorithm.
org.ddolib.lns.core.solver	This package implement LNS solver.
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 Solution in org.ddolib.acs.core.solver

Methods in org.ddolib.acs.core.solver that return Solution

Modifier and Type	Method	Description
Solution	ACSSolver.minimize(Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)	Minimizes the problem using the ACS strategy.

Uses of Solution in org.ddolib.astar.core.solver

Methods in org.ddolib.astar.core.solver that return Solution

Modifier and Type	Method	Description
Solution	AStarSolver.minimize(Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)

Uses of Solution in org.ddolib.awastar.core.solver

Methods in org.ddolib.awastar.core.solver that return Solution

Modifier and Type	Method	Description
Solution	AwAstarSolver.minimize(Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)

Uses of Solution in org.ddolib.common.solver

Methods in org.ddolib.common.solver that return Solution

Modifier and Type	Method	Description
Solution	Solver.minimize(Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)	Minimizes the objective function according to the solver strategy.

Uses of Solution in org.ddolib.ddo.core.solver

Methods in org.ddolib.ddo.core.solver that return Solution

Modifier and Type	Method	Description
Solution	ExactSolver.minimize(Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)	Minimizes the problem by compiling an exact decision diagram (MDD).
Solution	RelaxationSolver.minimize(Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)
Solution	RestrictionSolver.minimize(Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)
Solution	SequentialSolver.minimize(Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)

Uses of Solution in org.ddolib.lns.core.solver

Methods in org.ddolib.lns.core.solver that return Solution

Modifier and Type	Method	Description
Solution	LNSSolver.minimize(Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)

Uses of Solution in org.ddolib.modeling

Methods in org.ddolib.modeling that return Solution

Modifier and Type	Method	Description
static <T> Solution	Solvers.minimizeAcs(AcsModel<T> model)	Solves the given model using the Anytime Column Search (ACS) algorithm.
static <T> Solution	Solvers.minimizeAcs(AcsModel<T> model, BiConsumer<int[],SearchStatistics> onSolution)	Solves the given model using ACS and calls the callback when a new incumbent is found.
static <T> Solution	Solvers.minimizeAcs(AcsModel<T> model, Predicate<SearchStatistics> limit)	Solves the given model using ACS, stopping when the limit condition is satisfied.
static <T> Solution	Solvers.minimizeAcs(AcsModel<T> model, Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)	Core method for solving an ACS model with custom stopping condition and solution callback.
static <T> Solution	Solvers.minimizeAstar(Model<T> model)	Solves the given model using the A* search algorithm with default parameters.
static <T> Solution	Solvers.minimizeAstar(Model<T> model, BiConsumer<int[],SearchStatistics> onSolution)	Solves the given model using A* and calls back when new incumbent solutions are found.
static <T> Solution	Solvers.minimizeAstar(Model<T> model, Predicate<SearchStatistics> limit)	Solves the given model using A* with a specified stop condition.
static <T> Solution	Solvers.minimizeAstar(Model<T> model, Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)	Core method for solving a model with the A* search algorithm, with custom limit and callback.
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.
static <T> Solution	Solvers.minimizeDdo(DdoModel<T> model)	Solves the given model using the DDO (Decision Diagram Optimization) algorithm with default stopping criteria and no solution callback.
static <T> Solution	Solvers.minimizeDdo(DdoModel<T> model, BiConsumer<int[],SearchStatistics> onSolution)	Solves the given model using DDO and triggers a callback each time a new incumbent solution is found.
static <T> Solution	Solvers.minimizeDdo(DdoModel<T> model, Predicate<SearchStatistics> limit)	Solves the given model using DDO, stopping when the provided limit condition becomes true.
static <T> Solution	Solvers.minimizeDdo(DdoModel<T> model, Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)	Core method for solving a DDO model with a custom stop condition and a solution callback.
static <T> Solution	Solvers.minimizeExact(ExactModel<T> model)	Solves the given model using the Exact DDO algorithm.
static <T> Solution	Solvers.minimizeExact(ExactModel<T> model, BiConsumer<int[],SearchStatistics> onSolution)	Core method for solving an DDO model with solution callback.
static <T> Solution	Solvers.minimizeLns(LnsModel<T> model, BiConsumer<int[],SearchStatistics> onSolution)	Runs a Large Neighborhood Search (LNS) on the specified model without any termination condition and without processing intermediate solutions.
static <T> Solution	Solvers.minimizeLns(LnsModel<T> model, Predicate<SearchStatistics> limit)	Runs a Large Neighborhood Search (LNS) on the specified model with a termination condition but without processing intermediate solutions.
static final <T> Solution	Solvers.minimizeLns(LnsModel<T> model, Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)	Runs a Large Neighborhood Search (LNS) on the specified model with a given termination condition and a callback for each solution found.
static <T> Solution	Solvers.relaxedDdo(DdoModel<T> model)
static <T> Solution	Solvers.relaxedDdo(DdoModel<T> model, BiConsumer<int[],SearchStatistics> onSolution)
static <T> Solution	Solvers.relaxedDdo(DdoModel<T> model, Predicate<SearchStatistics> limit)
static <T> Solution	Solvers.relaxedDdo(DdoModel<T> model, Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)
static <T> Solution	Solvers.restrictedDdo(DdoModel<T> model)
static <T> Solution	Solvers.restrictedDdo(DdoModel<T> model, BiConsumer<int[],SearchStatistics> onSolution)
static <T> Solution	Solvers.restrictedDdo(DdoModel<T> model, Predicate<SearchStatistics> limit)
static <T> Solution	Solvers.restrictedDdo(DdoModel<T> model, Predicate<SearchStatistics> limit, BiConsumer<int[],SearchStatistics> onSolution)