Uses of Package
de.kumpe.hadooptimizer

Packages that use de.kumpe.hadooptimizer

de.kumpe.hadooptimizer	Core classes of the HadoOptimizer-Framework.
de.kumpe.hadooptimizer.examples	Implementations for exemplary optimization-problems.
de.kumpe.hadooptimizer.examples.benchmark	Implementations benchmarking HadoOptimizer.
de.kumpe.hadooptimizer.examples.functions	Implementations of EAs which try to find minimums of functions.
de.kumpe.hadooptimizer.examples.neurons	Examples which uses EAs to teach neuronal networks.
de.kumpe.hadooptimizer.examples.tutorial	The examples used in my diploma theses.
de.kumpe.hadooptimizer.hadoop	Optimizer implementations running in a Hadoop cluster.
de.kumpe.hadooptimizer.impl	Some basic und useful implementations of the evolution cycle's interfaces.
de.kumpe.hadooptimizer.jeneva
de.kumpe.hadooptimizer.simple	Optimizer implementations running on the local machine.

Classes in de.kumpe.hadooptimizer used by de.kumpe.hadooptimizer

EaOptimizerConfiguration
A configuration for a general evolutionary algorithm.

EaOptimizerConfigurationBase
The base class of configurations for evolutionary algorithms based optimizers.

EsOptimizerConfiguration
A configuration for evolution strategies.

EvaluationResult
Represents an immutable result of an evaluation.

Evaluator
An Evaluator calculates the evaluation (fitness) of a given individual as a single double-value.

Halter
A Halter decides whether to stop or continue the evolution cycle.

Mutator
A Mutator creates a mutant of the given individual.

OptimizerConfiguration
The base class of all Optimizer configurations.

PopulationReader
A PopulationReader is used to read the start population during initialization of the evolution cycles.

PopulationWriter
A PopulationWriter is used to store the resulting population of an optimization.

RandomGeneratorFactory
Factory for RandomGenerators

Recombiner
A Recombiner combines the given n parents to form m children.

Classes in de.kumpe.hadooptimizer used by de.kumpe.hadooptimizer.examples

EaOptimizerConfiguration
A configuration for a general evolutionary algorithm.

EaOptimizerConfigurationBase
The base class of configurations for evolutionary algorithms based optimizers.

EsOptimizerConfiguration
A configuration for evolution strategies.

RandomGeneratorFactory
Factory for RandomGenerators

Classes in de.kumpe.hadooptimizer used by de.kumpe.hadooptimizer.examples.benchmark

EaOptimizerConfiguration
A configuration for a general evolutionary algorithm.

Classes in de.kumpe.hadooptimizer used by de.kumpe.hadooptimizer.examples.functions

EaOptimizerConfiguration
A configuration for a general evolutionary algorithm.

EvaluationResult
Represents an immutable result of an evaluation.

Evaluator
An Evaluator calculates the evaluation (fitness) of a given individual as a single double-value.

Classes in de.kumpe.hadooptimizer used by de.kumpe.hadooptimizer.examples.neurons

EaOptimizerConfiguration
A configuration for a general evolutionary algorithm.

EvaluationResult
Represents an immutable result of an evaluation.

Evaluator
An Evaluator calculates the evaluation (fitness) of a given individual as a single double-value.

Classes in de.kumpe.hadooptimizer used by de.kumpe.hadooptimizer.examples.tutorial

EaOptimizerConfiguration
A configuration for a general evolutionary algorithm.

Classes in de.kumpe.hadooptimizer used by de.kumpe.hadooptimizer.hadoop

EaOptimizerConfiguration
A configuration for a general evolutionary algorithm.

EaOptimizerConfigurationBase
The base class of configurations for evolutionary algorithms based optimizers.

EsIndividual
A special type of an immutable individual for evolution strategies.

EsOptimizerConfiguration
A configuration for evolution strategies.

Halter
A Halter decides whether to stop or continue the evolution cycle.

Optimizer
An Optimizer tries to optimize a given population of individuals to improve their fitness.

OptimizerConfiguration
The base class of all Optimizer configurations.

RandomGeneratorFactory
Factory for RandomGenerators

Classes in de.kumpe.hadooptimizer used by de.kumpe.hadooptimizer.impl

EsIndividual
A special type of an immutable individual for evolution strategies.

EsWrappableMutator
Makes a Mutator wrappable by the EsMutatorWrapper.

EvaluationResult
Represents an immutable result of an evaluation.

Evaluator
An Evaluator calculates the evaluation (fitness) of a given individual as a single double-value.

Halter
A Halter decides whether to stop or continue the evolution cycle.

Mutator
A Mutator creates a mutant of the given individual.

NeedsRandomGenerator
Implementing this interfaces enables injection of seeded RandomGenerator -instances.

PopulationReader
A PopulationReader is used to read the start population during initialization of the evolution cycles.

PopulationWriter
A PopulationWriter is used to store the resulting population of an optimization.

Recombiner
A Recombiner combines the given n parents to form m children.

Stoppable
Marks a Halter to be stoppable.

Wrapper
Marks a class to be a wrapper of another interface or class.

Classes in de.kumpe.hadooptimizer used by de.kumpe.hadooptimizer.jeneva

EaOptimizerConfiguration
A configuration for a general evolutionary algorithm.

Optimizer
An Optimizer tries to optimize a given population of individuals to improve their fitness.

Classes in de.kumpe.hadooptimizer used by de.kumpe.hadooptimizer.simple

EaOptimizerConfiguration
A configuration for a general evolutionary algorithm.

EsOptimizerConfiguration
A configuration for evolution strategies.

Optimizer
An Optimizer tries to optimize a given population of individuals to improve their fitness.