package net.bmahe.genetics4j.samples;
   
   import static net.bmahe.genetics4j.core.termination.Terminations.or;
   
   import org.apache.logging.log4j.LogManager;
   import org.apache.logging.log4j.Logger;
   
   import net.bmahe.genetics4j.core.EASystem;
   import net.bmahe.genetics4j.core.EASystemFactory;
  import net.bmahe.genetics4j.core.chromosomes.IntChromosome;
  import net.bmahe.genetics4j.core.evolutionlisteners.EvolutionListeners;
  import net.bmahe.genetics4j.core.spec.EAConfiguration;
  import net.bmahe.genetics4j.core.spec.EAConfiguration.Builder;
  import net.bmahe.genetics4j.core.spec.EAExecutionContext;
  import net.bmahe.genetics4j.core.spec.EAExecutionContexts;
  import net.bmahe.genetics4j.core.spec.EvolutionResult;
  import net.bmahe.genetics4j.core.spec.chromosome.IntChromosomeSpec;
  import net.bmahe.genetics4j.core.spec.combination.MultiPointCrossover;
  import net.bmahe.genetics4j.core.spec.mutation.RandomMutation;
  import net.bmahe.genetics4j.core.spec.selection.Tournament;
  import net.bmahe.genetics4j.core.termination.Terminations;
  
  public class QuickStart {
  
  	public static final Logger logger = LogManager.getLogger(QuickStart.class);
  
  	public static void main(String[] args) {
  
  		// tag::quickstart_variables[]
  		final int numEntries = 10; // <1>
  		final int minValue = 0; // <2>
  		final int maxValue = 20; // <3>
  		// end::quickstart_variables[]
  
  		// tag::quickstart_genotype_spec[]
  		final Builder<Integer> eaConfigurationBuilder = new EAConfiguration.Builder<>();
  		eaConfigurationBuilder.chromosomeSpecs(IntChromosomeSpec.of(numEntries, minValue, maxValue))
  				.parentSelectionPolicy(Tournament.of(5))
  				.combinationPolicy(MultiPointCrossover.of(2))
  				.mutationPolicies(RandomMutation.of(0.15))
  				.fitness(genoType -> {
  					final IntChromosome intChromosome = genoType.getChromosome(0, IntChromosome.class);
  					int correctCount = 0;
  					for (int i = 0; i < intChromosome.getNumAlleles(); i++) {
  						if (i == intChromosome.getAllele(i)) {
  							correctCount++;
  						}
  					}
  
  					return correctCount;
  				})
  				.termination(or(Terminations.ofFitnessAtLeast(numEntries), Terminations.ofMaxGeneration(50)));
  		final EAConfiguration<Integer> eaConfiguration = eaConfigurationBuilder.build();
  		// end::quickstart_genotype_spec[]
  
  		// tag::quickstart_genetic_system_descriptor[]
  		final EAExecutionContext<Integer> eaExecutionContext = EAExecutionContexts.<Integer>forScalarFitness()
  				.populationSize(100)
  				.addEvolutionListeners(EvolutionListeners.ofLogTopN(logger, 3))
  				.build();
  		// end::quickstart_genetic_system_descriptor[]
  
  		// tag::quickstart_genetic_system[]
  		final EASystem<Integer> eaSystem = EASystemFactory.from(eaConfiguration, eaExecutionContext);
  		// end::quickstart_genetic_system[]
  
  		// tag::quickstart_evolve[]
  		final EvolutionResult<Integer> evolutionResult = eaSystem.evolve();
  		logger.info("Best genotype: {}", evolutionResult.bestGenotype());
  		logger.info("  with fitness: {}", evolutionResult.bestFitness());
  		logger.info("  at generation: {}", evolutionResult.generation());
  		// end::quickstart_evolve[]
  
  		System.exit(0);
  	}
  }