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Interface Summary | |
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Fitness | This interface is an abstraction for the fitness of a solution to an optimisation problem. |
GradientOptimisationProblem | Optimisation problems that are able to provide gradient information should implement this interface. |
OptimisationProblem | Optimisation problems are characterized by a domain that specifies the search space and a fitness given a potential solution. |
Problem | This is a common abstraction for all problem classes. |
ProblemFactory |
A factory used to produce a Problem must satisfy this interface. |
Solution | This is a common abstraction for all solution classes. |
Class Summary | |
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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 . |
CooperativeOptimisationProblemAdapter | TODO test this class. |
DeratingFunctionMaximisationProblem | Title: DeratingFunctionMaximisationProblem |
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. |
FunctionLearningProblem | |
FunctionMaximisationProblem | |
FunctionMinimisationProblem | An implementation of OptimisationProblemAdapter that can be used to find the minimum of
any Function . |
FunctionOptimisationProblem | This class serves as a base class for function optimisation problems using a
Function . |
GradientFunctionMinimisationProblem | |
InferiorFitness | This class is used to represent a fitness value that is always inferior. |
MaximisationFitness | |
MinimisationFitness | This class implements the Comparable interface for a minimisation problem. |
MOFitness | |
MOOptimisationProblem | |
OptimisationProblemAdapter | This is a convenience class that keeps track of the number of fitness evaluations. |
OptimisationSolution | This class represents a solution to an OptimisationProblem . |
ProblemVisitor |
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