Uses of Package
org.cicirello.search

Packages that use org.cicirello.search Package Description org.cicirello.search This package includes classes and interfaces related to implementing metaheuristic search algorithms in general, rather than specific to a particular metaheuristic.org.cicirello.search.concurrent This package includes multithreaded search implementations, as well as classes and interfaces related to implementing multithreaded metaheuristics.org.cicirello.search.hc This package includes classes and interfaces directly related to implementing hill climbers.org.cicirello.search.operators 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.org.cicirello.search.problems Package of classes and interfaces related to representing computational problems, as well as classes implementing a variety of specific computational problems.org.cicirello.search.restarts This package includes classes and interfaces related to implementing multistart metaheuristics (i.e., metaheuristics that periodically restart, and return the best solution across a number of such restarts).org.cicirello.search.sa This package includes classes and interfaces directly related to implementing simulated annealing.org.cicirello.search.ss This package includes classes and interfaces directly related to implementing stochastic sampling algorithms. 
Classes in org.cicirello.search used by org.cicirello.search Class Description Metaheuristic This interface defines the required methods for implementations of metaheuristics, in particular metaheuristics for which the maximum run length can be specified.ProgressTracker This class is used to track search algorithm progress, and supports multithreaded search algorithms.ReoptimizableMetaheuristic This interface defines the required methods for implementations of metaheuristics, for which the maximum run length can be specified, and which have the capability of restarting from a previously optimized solution.SimpleLocalMetaheuristic 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 selfdetermined, such as hill climbers that terminate upon reaching a local optima.SimpleMetaheuristic This interface defines the required methods for implementations of simple metaheuristics whose run length is selfdetermined, such as hill climbers that terminate upon reaching a local optima.SolutionCostPair An object of this class encapsulates a solution with its corresponding cost value.TrackableSearch This interface defines the required functionality of search algorithm implementations that support tracking search progress across multiple runs, whether multiple sequential runs, or multiple concurrent runs in the case of a parallel metaheuristic. 
Classes in org.cicirello.search used by org.cicirello.search.concurrent Class Description Metaheuristic This interface defines the required methods for implementations of metaheuristics, in particular metaheuristics for which the maximum run length can be specified.ProgressTracker This class is used to track search algorithm progress, and supports multithreaded search algorithms.ReoptimizableMetaheuristic This interface defines the required methods for implementations of metaheuristics, for which the maximum run length can be specified, and which have the capability of restarting from a previously optimized solution.SolutionCostPair An object of this class encapsulates a solution with its corresponding cost value.TrackableSearch This interface defines the required functionality of search algorithm implementations that support tracking search progress across multiple runs, whether multiple sequential runs, or multiple concurrent runs in the case of a parallel metaheuristic. 
Classes in org.cicirello.search used by org.cicirello.search.hc Class Description Metaheuristic This interface defines the required methods for implementations of metaheuristics, in particular metaheuristics for which the maximum run length can be specified.ProgressTracker This class is used to track search algorithm progress, and supports multithreaded search algorithms.SimpleLocalMetaheuristic 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 selfdetermined, such as hill climbers that terminate upon reaching a local optima.SimpleMetaheuristic This interface defines the required methods for implementations of simple metaheuristics whose run length is selfdetermined, such as hill climbers that terminate upon reaching a local optima.TrackableSearch This interface defines the required functionality of search algorithm implementations that support tracking search progress across multiple runs, whether multiple sequential runs, or multiple concurrent runs in the case of a parallel metaheuristic. 
Classes in org.cicirello.search used by org.cicirello.search.operators Class Description SimpleMetaheuristic This interface defines the required methods for implementations of simple metaheuristics whose run length is selfdetermined, such as hill climbers that terminate upon reaching a local optima. 
Classes in org.cicirello.search used by org.cicirello.search.problems Class Description SolutionCostPair An object of this class encapsulates a solution with its corresponding cost value. 
Classes in org.cicirello.search used by org.cicirello.search.restarts Class Description Metaheuristic This interface defines the required methods for implementations of metaheuristics, in particular metaheuristics for which the maximum run length can be specified.ProgressTracker This class is used to track search algorithm progress, and supports multithreaded search algorithms.ReoptimizableMetaheuristic This interface defines the required methods for implementations of metaheuristics, for which the maximum run length can be specified, and which have the capability of restarting from a previously optimized solution.SolutionCostPair An object of this class encapsulates a solution with its corresponding cost value.TrackableSearch This interface defines the required functionality of search algorithm implementations that support tracking search progress across multiple runs, whether multiple sequential runs, or multiple concurrent runs in the case of a parallel metaheuristic. 
Classes in org.cicirello.search used by org.cicirello.search.sa Class Description Metaheuristic This interface defines the required methods for implementations of metaheuristics, in particular metaheuristics for which the maximum run length can be specified.ProgressTracker This class is used to track search algorithm progress, and supports multithreaded search algorithms.ReoptimizableMetaheuristic This interface defines the required methods for implementations of metaheuristics, for which the maximum run length can be specified, and which have the capability of restarting from a previously optimized solution.SimpleLocalMetaheuristic 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 selfdetermined, such as hill climbers that terminate upon reaching a local optima.SingleSolutionMetaheuristic This interface defines the required methods for implementations of singlesolution metaheuristics, i.e., metaheuristics such as simulated annealing that operate one a single candidate solution (as compared to populationbased metaheuristics such as genetic algorithms.SolutionCostPair An object of this class encapsulates a solution with its corresponding cost value.TrackableSearch This interface defines the required functionality of search algorithm implementations that support tracking search progress across multiple runs, whether multiple sequential runs, or multiple concurrent runs in the case of a parallel metaheuristic. 
Classes in org.cicirello.search used by org.cicirello.search.ss Class Description Metaheuristic This interface defines the required methods for implementations of metaheuristics, in particular metaheuristics for which the maximum run length can be specified.ProgressTracker This class is used to track search algorithm progress, and supports multithreaded search algorithms.SimpleMetaheuristic This interface defines the required methods for implementations of simple metaheuristics whose run length is selfdetermined, such as hill climbers that terminate upon reaching a local optima.SolutionCostPair An object of this class encapsulates a solution with its corresponding cost value.TrackableSearch This interface defines the required functionality of search algorithm implementations that support tracking search progress across multiple runs, whether multiple sequential runs, or multiple concurrent runs in the case of a parallel metaheuristic.