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Packages that use Problem | |
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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 |
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Classes in net.sourceforge.cilib.bioinf.rnaprediction that implement Problem | |
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class |
RNAOptimisationProblem
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Uses of Problem in net.sourceforge.cilib.bioinf.sequencealignment |
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Classes in net.sourceforge.cilib.bioinf.sequencealignment that implement Problem | |
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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 |
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Classes in net.sourceforge.cilib.functions.discrete that implement Problem | |
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class |
KnightCoverageProblem
Deprecated. |
Uses of Problem in net.sourceforge.cilib.moo.criterion |
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Classes in net.sourceforge.cilib.moo.criterion that implement Problem | |
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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 |
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Classes in net.sourceforge.cilib.neuralnetwork.foundation that implement Problem | |
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class |
NeuralNetworkProblem
Deprecated. This class is no longer really valid. |
Methods in net.sourceforge.cilib.neuralnetwork.foundation with parameters of type Problem | |
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void |
NeuralNetworkController.setProblem(Problem problem)
Deprecated. |
void |
NeuralNetworkRetrievalVisitor.visit(Problem o)
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Uses of Problem in net.sourceforge.cilib.problem |
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Subinterfaces of Problem in net.sourceforge.cilib.problem | |
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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 | |
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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
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class |
FunctionMaximisationProblem
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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 | |
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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 | |
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abstract void |
ProblemVisitor.visit(Problem o)
Visit the provided object. |
Uses of Problem in net.sourceforge.cilib.problem.changestrategy |
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Methods in net.sourceforge.cilib.problem.changestrategy with parameters of type Problem | |
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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 |
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Classes in net.sourceforge.cilib.problem.coevolution that implement Problem | |
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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
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Uses of Problem in net.sourceforge.cilib.problem.mappingproblem |
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Classes in net.sourceforge.cilib.problem.mappingproblem that implement Problem | |
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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 |
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Methods in net.sourceforge.cilib.xml that return Problem | |
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Problem |
XMLProblemFactory.newProblem()
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Methods in net.sourceforge.cilib.xml with parameters of type Problem | |
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void |
XMLProblemFactory.setProblem(Problem problem)
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