Uses of Interface
org.cicirello.search.SimpleMetaheuristic
Package
Description
This package includes classes and interfaces related to implementing metaheuristic search
algorithms in general, rather than specific to a particular metaheuristic.
This package includes classes and interfaces directly related to implementing hill climbers.
This package includes classes and interfaces for defining various operators required by simulated
annealing and other metaheuristics, such as mutation operators, along with other related classes
and interfaces.
This package includes classes and interfaces directly related to implementing stochastic sampling
algorithms.
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Uses of SimpleMetaheuristic in org.cicirello.search
Modifier and TypeInterfaceDescriptioninterface
SimpleLocalMetaheuristic<T extends Copyable<T>>
This interface defines the required methods for implementations of simple metaheuristics that locally optimize from some initial solution (random or otherwise) whose run length is self-determined, such as hill climbers that terminate upon reaching a local optima. -
Uses of SimpleMetaheuristic in org.cicirello.search.hc
Modifier and TypeClassDescriptionfinal class
FirstDescentHillClimber<T extends Copyable<T>>
This class implements first descent hill climbing.final class
SteepestDescentHillClimber<T extends Copyable<T>>
This class implements steepest descent hill climbing. -
Uses of SimpleMetaheuristic in org.cicirello.search.operators
ModifierConstructorDescriptionConstructs an Initializer that creates initial candidate solutions for metaheuristics by running another simpler metaheuristic, such as a hill climber, from a random initial solution, climbing to a local optima. -
Uses of SimpleMetaheuristic in org.cicirello.search.ss
Modifier and TypeClassDescriptionfinal class
AcceptanceBandSampling<T extends Copyable<T>>
The AcceptanceBandSampling class implements a form of stochastic sampling search that uses a constructive heuristic to guide the random decisions.final class
HeuristicBiasedStochasticSampling<T extends Copyable<T>>
Heuristic Biased Stochastic Sampling (HBSS) is a form of stochastic sampling search that uses a constructive heuristic to bias the random decisions.final class
This class generates solutions to permutation optimization problems using a constructive heuristic.class
HeuristicSolutionGenerator<T extends Copyable<T>>
This class generates solutions to optimization problems using a constructive heuristic.final class
IterativeSampling<T extends Copyable<T>>
Iterative sampling is the simplest possible form of a stochastic sampling search.final class
ValueBiasedStochasticSampling<T extends Copyable<T>>
Value Biased Stochastic Sampling (VBSS) is a form of stochastic sampling search that uses a constructive heuristic to bias the random decisions.