See: Description
Interface | Description |
---|---|
CandidateFactory<T> |
Creates new populations of candidates.
|
EvolutionaryOperator<T> |
An evolutionary operator is a function that takes a population of
candidates as an argument and returns a new population that is the
result of applying a transformation to the original population.
|
EvolutionEngine<T> |
Operations for classes that provide an evolution implementation.
|
EvolutionObserver<T> |
Call-back interface so that programs can monitor the state of a
long-running evolutionary algorithm.
|
FitnessEvaluator<T> |
Calculates the fitness score of a given candidate of the appropriate type.
|
SelectionStrategy<T> |
Strategy interface for "natural" selection.
|
TerminationCondition |
Interface for implementing conditions used to terminate evolutionary algorithms.
|
Class | Description |
---|---|
AbstractEvolutionEngine<T> |
Base class for
EvolutionEngine implementations. |
CachingFitnessEvaluator<T> |
A wrapper that provides caching for
FitnessEvaluator implementations. |
EvaluatedCandidate<T> |
Immutable wrapper class for associating a candidate solution with its
fitness score.
|
EvolutionStrategyEngine<T> |
General purpose engine for implementing Evolution Strategies.
|
EvolutionUtils |
Utility methods used by different evolution implementations.
|
FitnessEvaluationWorker |
This is the class that actually runs the fitness evaluation tasks created by a
EvolutionEngine . |
GenerationalEvolutionEngine<T> |
This class implements a general-purpose generational evolutionary algorithm.
|
PopulationData<T> |
Immutable data object containing statistics about the state of
an evolved population and a reference to the fittest candidate
solution in the population.
|
SteadyStateEvolutionEngine<T> |
An implementation of steady-state evolution, which is a type of evolutionary algorithm
where a population is changed incrementally, with one individual evolved at a time.
|
EvolutionEngine
.