Uses of Interface
net.sourceforge.cilib.problem.Problem

Packages that use Problem
net.sourceforge.cilib.bioinf.rnaprediction   
net.sourceforge.cilib.bioinf.sequencealignment   
net.sourceforge.cilib.functions.discrete   
net.sourceforge.cilib.moo.criterion   
net.sourceforge.cilib.neuralnetwork.foundation   
net.sourceforge.cilib.problem   
net.sourceforge.cilib.problem.changestrategy Dynamic environments need to know when it should be applicable to change the problem. 
net.sourceforge.cilib.problem.coevolution   
net.sourceforge.cilib.problem.mappingproblem   
net.sourceforge.cilib.xml   
 

Uses of Problem in net.sourceforge.cilib.bioinf.rnaprediction
 

Classes in net.sourceforge.cilib.bioinf.rnaprediction that implement Problem
 class RNAOptimisationProblem
           
 

Uses of Problem in net.sourceforge.cilib.bioinf.sequencealignment
 

Classes in net.sourceforge.cilib.bioinf.sequencealignment that implement Problem
 class BinaryMSAProblem
          This class represents the Optimization Problem to be solved for the MSA (Binary representation).
 class MSAProblem
          This class represents the Optimization Problem to be solved for the MSA (Real representation).
 

Uses of Problem in net.sourceforge.cilib.functions.discrete
 

Classes in net.sourceforge.cilib.functions.discrete that implement Problem
 class KnightCoverageProblem
          Deprecated.  
 

Uses of Problem in net.sourceforge.cilib.moo.criterion
 

Classes in net.sourceforge.cilib.moo.criterion that implement Problem
 class CriterionBasedMOProblemAdapter
           Serves as an adapter for a MOOptimisationProblem and converts it to a single-objective optimisation problem by selecting one of the sub-objectives as its active objective.
 

Uses of Problem in net.sourceforge.cilib.neuralnetwork.foundation
 

Classes in net.sourceforge.cilib.neuralnetwork.foundation that implement Problem
 class NeuralNetworkProblem
          Deprecated. This class is no longer really valid.
 

Methods in net.sourceforge.cilib.neuralnetwork.foundation with parameters of type Problem
 void NeuralNetworkController.setProblem(Problem problem)
          Deprecated.  
 void NeuralNetworkRetrievalVisitor.visit(Problem o)
           
 

Uses of Problem in net.sourceforge.cilib.problem
 

Subinterfaces of Problem in net.sourceforge.cilib.problem
 interface OptimisationProblem
           Optimisation problems are characterized by a domain that specifies the search space and a fitness given a potential solution.
 

Classes in net.sourceforge.cilib.problem that implement Problem
 class ClusteringProblem
           This class is used to setup/configure a problem that is capable of clustering the data in a dataset, more specifically the data contained in an AssociatedPairDataSetBuilder.
 class CooperativeOptimisationProblemAdapter
          TODO test this class.
 class DeratingFunctionMaximisationProblem
          Title: DeratingFunctionMaximisationProblem
 class DiscreteOptimisationProblem
          This class further extends the logical separation between a standard type of problem, usually placed in the real valued space, to enable Discrete problems.
 class FunctionLearningProblem
           
 class FunctionMaximisationProblem
           
 class FunctionMinimisationProblem
          An implementation of OptimisationProblemAdapter that can be used to find the minimum of any Function.
 class FunctionOptimisationProblem
          This class serves as a base class for function optimisation problems using a Function.
 class GradientFunctionMinimisationProblem
           
 class MOOptimisationProblem
           
 class OptimisationProblemAdapter
           This is a convenience class that keeps track of the number of fitness evaluations.
 

Methods in net.sourceforge.cilib.problem that return Problem
 Problem Problem.getClone()
          Create a cloned copy of the current object and return it.
 Problem ProblemFactory.newProblem()
          Returns a newly contructed problem.
 

Methods in net.sourceforge.cilib.problem with parameters of type Problem
abstract  void ProblemVisitor.visit(Problem o)
          Visit the provided object.
 

Uses of Problem in net.sourceforge.cilib.problem.changestrategy
 

Methods in net.sourceforge.cilib.problem.changestrategy with parameters of type Problem
 boolean ChangeStrategy.shouldApply(Problem problem)
          Determine whether a change should be applied to the provided problem instance.
 boolean IterationBasedChangeStrategy.shouldApply(Problem problem)
          Determine if a change should be applied to the current problem, based on the current number of iterations that have been completed.
 boolean NoChangeStrategy.shouldApply(Problem problem)
          Do not change the search space of the provided problem instance.
 

Uses of Problem in net.sourceforge.cilib.problem.coevolution
 

Classes in net.sourceforge.cilib.problem.coevolution that implement Problem
 class CompetitiveCoevolutionGameLearningOptimizationProblem
          This class is used by CoevolutionAlgorithm to optimize a Game.
 class CompetitiveCoevolutionProblemAdapter
          This class is used by the sub populations of a competitive coevolution algorithm.
 class GameLearningOptimizationProblem
          Optimize either a single player game or a game against hand coded opponents
 class PerformanceEvaluationOptimizationProblem
           
 

Uses of Problem in net.sourceforge.cilib.problem.mappingproblem
 

Classes in net.sourceforge.cilib.problem.mappingproblem that implement Problem
 class FunctionDimensionMappingProblem
          TODO: Complete this javadoc.
 class LinearMappingProblem
          This class provides an adapter for implementation of NonlinearMapping evaluation functions.
 class MappingProblem
          Abstract MappingProblem class that allows for implementing methods of mapping high-dimensional data onto lower dimensions.
 

Uses of Problem in net.sourceforge.cilib.xml
 

Methods in net.sourceforge.cilib.xml that return Problem
 Problem XMLProblemFactory.newProblem()
           
 

Methods in net.sourceforge.cilib.xml with parameters of type Problem
 void XMLProblemFactory.setProblem(Problem problem)
           
 



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