@Test public void cycle1() { final EvolutionStreamable<DoubleGene, Double> engine = CyclicEngine.of( _engine1.limit(10), _engine2.limit(10), _engine3.limit(10) ); final AtomicLong count = new AtomicLong(0); final EvolutionResult<DoubleGene, Double> result = engine.stream() .limit(100) .peek(r -> count.incrementAndGet()) .collect(EvolutionResult.toBestEvolutionResult()); Assert.assertEquals(count.intValue(), 100); Assert.assertEquals(result.getTotalGenerations(), 100); }
@Test public void cycle3() { final EvolutionStreamable<DoubleGene, Double> engine = CyclicEngine.of( _engine1.limit(10), _engine2.limit(10), _engine3.limit(10) ); final AtomicLong count = new AtomicLong(0); final EvolutionResult<DoubleGene, Double> result = engine.stream() .limit(Limits.byFixedGeneration(50)) .limit(15) .peek(r -> count.incrementAndGet()) .collect(EvolutionResult.toBestEvolutionResult()); Assert.assertEquals(count.intValue(), 15); Assert.assertEquals(result.getTotalGenerations(), 15); }
@Test public void concat1() { final EvolutionStreamable<DoubleGene, Double> engine = ConcatEngine.of( _engine1.limit(10), _engine2.limit(10), _engine3.limit(10) ); final AtomicLong count = new AtomicLong(0); final EvolutionResult<DoubleGene, Double> result = engine.stream() .limit(Limits.byFixedGeneration(40)) .limit(100) .peek(r -> count.incrementAndGet()) .collect(EvolutionResult.toBestEvolutionResult()); Assert.assertEquals(count.intValue(), 30); Assert.assertEquals(result.getTotalGenerations(), 30); }
@Test public void cycle2() { final EvolutionStreamable<DoubleGene, Double> engine = CyclicEngine.of( _engine1.limit(10), _engine2.limit(10), _engine3.limit(10) ); final AtomicLong count = new AtomicLong(0); final EvolutionResult<DoubleGene, Double> result = engine.stream() .limit(Limits.byFixedGeneration(50)) .limit(100) .peek(r -> count.incrementAndGet()) .collect(EvolutionResult.toBestEvolutionResult()); Assert.assertEquals(count.intValue(), 50); Assert.assertEquals(result.getTotalGenerations(), 50); }
@Test public void concat2() { final EvolutionStreamable<DoubleGene, Double> engine = ConcatEngine.of( _engine1.limit(10), _engine2.limit(10), _engine3.limit(10) ); final AtomicLong count = new AtomicLong(0); final EvolutionResult<DoubleGene, Double> result = engine.stream() .limit(Limits.byFixedGeneration(15)) .limit(100) .peek(r -> count.incrementAndGet()) .collect(EvolutionResult.toBestEvolutionResult()); Assert.assertEquals(count.intValue(), 15); Assert.assertEquals(result.getTotalGenerations(), 15); }
@Test public void concat3() { final EvolutionStreamable<DoubleGene, Double> engine = ConcatEngine.of( _engine1.limit(10), _engine2.limit(10), _engine3.limit(10) ); final AtomicLong count = new AtomicLong(0); final EvolutionResult<DoubleGene, Double> result = engine.stream() .limit(Limits.byFixedGeneration(15)) .limit(9) .peek(r -> count.incrementAndGet()) .collect(EvolutionResult.toBestEvolutionResult()); Assert.assertEquals(count.intValue(), 9); Assert.assertEquals(result.getTotalGenerations(), 9); }
public static void main(final String[] args) { final Knapsack knapsack = Knapsack.of(15, new Random(123)); // The base engine tries to approximate to good solution in current // environment. final Engine<BitGene, Double> baseEngine = Engine.builder(knapsack) .populationSize(500) .alterers( new Mutator<>(0.115), new SinglePointCrossover<>(0.16)) .build(); // The 'diversity' engine tries to broaden the search space again. final Engine<BitGene, Double> diversityEngine = baseEngine.builder() .alterers(new Mutator<>(0.5)) .build(); // Concatenates the two engines into one cyclic engine. final EvolutionStreamable<BitGene, Double> engine = CyclicEngine.of( // This engine stops the evolution after 10 non-improving // generations and hands over to the diversity engine. baseEngine.limit(() -> Limits.bySteadyFitness(10)), // The higher mutation rate of this engine broadens the search // space for 15 generations and hands over to the base engine. diversityEngine.limit(15) ); final EvolutionResult<BitGene, Double> best = engine.stream() // The evolution is stopped after 50 non-improving generations. .limit(bySteadyFitness(50)) .collect(toBestEvolutionResult()); System.out.println(best.getTotalGenerations()); System.out.println(best.getBestPhenotype()); }
@Test(dataProvider = "generations") public void engineGenerationLimit1(final Long generations) { final Engine<DoubleGene, Double> engine = Engine .builder(a -> a.getGene().getAllele(), DoubleChromosome.of(0, 1)) .build(); final EvolutionResult<DoubleGene, Double> result = engine .limit(() -> Limits.byFixedGeneration(generations)) .stream() .collect(EvolutionResult.toBestEvolutionResult()); Assert.assertEquals(generations.longValue(), result.getTotalGenerations()); }
@Test(dataProvider = "generations") public void engineGenerationLimit2(final Long generations) { final Engine<DoubleGene, Double> engine = Engine .builder(a -> a.getGene().getAllele(), DoubleChromosome.of(0, 1)) .build(); final EvolutionResult<DoubleGene, Double> result = engine .limit(() -> Limits.byFixedGeneration(generations)) .limit(() -> Limits.byFixedGeneration(Math.min(generations, 5))) .stream() .collect(EvolutionResult.toBestEvolutionResult()); Assert.assertEquals(Math.min(generations, 5), result.getTotalGenerations()); }
private static EvolutionStreamable<DoubleGene, Double> engine( final EvolutionResult<DoubleGene, Double> result, final Engine.Builder<DoubleGene, Double> builder ) { return var(result) < 0.2 ? builder.copy() .alterers(new Mutator<>(0.5)) .selector(new MonteCarloSelector<>()) .build() .limit(5) : builder.copy() .alterers( new Mutator<>(0.05), new MeanAlterer<>()) .selector(new RouletteWheelSelector<>()) .build() .limit(15); }
public static void main(final String[] args) { final Problem<double[], DoubleGene, Double> problem = Problem.of( v -> Math.sin(v[0])*Math.cos(v[1]), Codecs.ofVector(DoubleRange.of(0, 2*Math.PI), 2) ); final Engine<DoubleGene, Double> engine1 = Engine.builder(problem) .minimizing() .alterers(new Mutator<>(0.2)) .selector(new MonteCarloSelector<>()) .build(); final Engine<DoubleGene, Double> engine2 = Engine.builder(problem) .minimizing() .alterers( new Mutator<>(0.1), new MeanAlterer<>()) .selector(new RouletteWheelSelector<>()) .build(); final Genotype<DoubleGene> result = ConcatEngine.of( engine1.limit(50), engine2.limit(() -> Limits.bySteadyFitness(30))) .stream() .collect(EvolutionResult.toBestGenotype()); System.out.println(result + ": " + problem.fitness().apply(problem.codec().decode(result))); }
public static void main(final String[] args) { final Problem<double[], DoubleGene, Double> problem = Problem.of( v -> Math.sin(v[0])*Math.cos(v[1]), Codecs.ofVector(DoubleRange.of(0, 2*Math.PI), 2) ); final Engine<DoubleGene, Double> engine1 = Engine.builder(problem) .minimizing() .alterers(new Mutator<>(0.2)) .selector(new MonteCarloSelector<>()) .build(); final Engine<DoubleGene, Double> engine2 = Engine.builder(problem) .minimizing() .alterers( new Mutator<>(0.1), new MeanAlterer<>()) .selector(new RouletteWheelSelector<>()) .build(); final Genotype<DoubleGene> result = CyclicEngine.of( engine1.limit(50), engine2.limit(() -> Limits.bySteadyFitness(30))) .stream() .limit(Limits.bySteadyFitness(1000)) .collect(EvolutionResult.toBestGenotype()); System.out.println(result + ": " + problem.fitness().apply(problem.codec().decode(result))); }