org.apache.commons.math3.genetics

## Class GeneticAlgorithm

• public class GeneticAlgorithm
extends Object
Implementation of a genetic algorithm. All factors that govern the operation of the algorithm can be configured for a specific problem.
Since:
2.0
Version:
$Id: GeneticAlgorithm.java 1416643 2012-12-03 19:37:14Z tn$
• ### Method Detail

• #### setRandomGenerator

public static void setRandomGenerator(RandomGenerator random)
Set the (static) random generator.
Parameters:
random - random generator
• #### getRandomGenerator

public static RandomGenerator getRandomGenerator()
Returns the (static) random generator.
Returns:
the static random generator shared by GA implementation classes
• #### evolve

public Population evolve(Population initial,
StoppingCondition condition)
Evolve the given population. Evolution stops when the stopping condition is satisfied. Updates the generationsEvolved property with the number of generations evolved before the StoppingCondition is satisfied.
Parameters:
initial - the initial, seed population.
condition - the stopping condition used to stop evolution.
Returns:
the population that satisfies the stopping condition.
• #### nextGeneration

public Population nextGeneration(Population current)
Evolve the given population into the next generation.

1. Get nextGeneration population to fill from current generation, using its nextGeneration method
2. Loop until new generation is filled:
3. Return nextGeneration
Parameters:
current - the current population.
Returns:
the population for the next generation.
• #### getCrossoverRate

public double getCrossoverRate()
Returns the crossover rate.
Returns:
crossover rate
• #### getMutationRate

public double getMutationRate()
Returns the mutation rate.
Returns:
mutation rate
• #### getGenerationsEvolved

public int getGenerationsEvolved()
Returns the number of generations evolved to reach StoppingCondition in the last run.
Returns:
number of generations evolved
Since:
2.1