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A

AlgorithmDefinition<T> - Interface in de.sfuhrm.genetic

Hypothesis creation, manipulation and evaluation callbacks for the genetic algorithm.

B

build() - Method in class de.sfuhrm.genetic.GeneticAlgorithmBuilder

Creates a new instance of a GeneticAlgorithm with the defined parameters.

C

calculateFitness(T) - Method in interface de.sfuhrm.genetic.AlgorithmDefinition

Calculates the fitness of a hypothesis.

calculateNextGeneration(List<H>) - Method in class de.sfuhrm.genetic.GeneticAlgorithm

Calculate one generation step.

CROSS_OVER_RATE_DEFAULT - Static variable in class de.sfuhrm.genetic.GeneticAlgorithmBuilder

The default cross-over rate (0.3).

crossOverHypothesis(T, T) - Method in interface de.sfuhrm.genetic.AlgorithmDefinition

Calculates two-element crossover offspring of two parent hypothesis.

D

de.sfuhrm.genetic - package de.sfuhrm.genetic

Framework for a calculating genetic algorithm optimization.

F

findMaximum() - Method in class de.sfuhrm.genetic.GeneticAlgorithm

Perform the genetic optimization.

G

GENERATION_SIZE_DEFAULT - Static variable in class de.sfuhrm.genetic.GeneticAlgorithmBuilder

The default generation size (100).

GeneticAlgorithm<H> - Class in de.sfuhrm.genetic

Central entry class for generic algorithm implementations.

GeneticAlgorithmBuilder<H> - Class in de.sfuhrm.genetic

A builder for GeneticAlgorithm instances.

GeneticAlgorithmBuilder(AlgorithmDefinition<H>) - Constructor for class de.sfuhrm.genetic.GeneticAlgorithmBuilder

Creates a new builder.

I

initialize(Random) - Method in interface de.sfuhrm.genetic.AlgorithmDefinition

Initializes an instance of the algorithm definition.

L

loop(T) - Method in interface de.sfuhrm.genetic.AlgorithmDefinition

Checks whether we still need to continue the search.

M

mutateHypothesis(T) - Method in interface de.sfuhrm.genetic.AlgorithmDefinition

Implements the mutation operator on a hypothesis.

MUTATION_RATE_DEFAULT - Static variable in class de.sfuhrm.genetic.GeneticAlgorithmBuilder

The default mutation-rate (0.05).

N

newRandomHypothesis() - Method in interface de.sfuhrm.genetic.AlgorithmDefinition

Randomly create a hypothesis.

W

withCrossOverRate(double) - Method in class de.sfuhrm.genetic.GeneticAlgorithmBuilder

Defines the cross-over rate to use.

withExecutorService(ExecutorService) - Method in class de.sfuhrm.genetic.GeneticAlgorithmBuilder

Defines the executor service to use.

withGenerationSize(int) - Method in class de.sfuhrm.genetic.GeneticAlgorithmBuilder

Defines the generation size to use.

withMutationRate(double) - Method in class de.sfuhrm.genetic.GeneticAlgorithmBuilder

Defines the mutation rate to use.

withRandom(Random) - Method in class de.sfuhrm.genetic.GeneticAlgorithmBuilder

Defines the random generator to use.

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