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new RouletteWheelSelection(), new MersenneTwisterRNG()); engine.addEvolutionObserver(new EvolutionLogger()); return engine.evolve(100, // 100 individuals in the population. 5, // 5% elitism. new TargetFitness(0, false)); }
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new EvolutionPipeline<Node>(operators), evaluator, new RouletteWheelSelection(), new MersenneTwisterRNG()); engine.addEvolutionObserver(new EvolutionLogger<Node>()); return engine.evolve(1000, 5, new TargetFitness(0d, evaluator.isNatural())); }
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new MersenneTwisterRNG()); engine.setSingleThreaded(true); // Performs better for very trivial fitness evaluations. engine.addEvolutionObserver(new EvolutionLogger<BitString>()); return engine.evolve(100, // 100 individuals in each generation. 0, // Don't use elitism. new TargetFitness(length, true)); // Continue until a perfect match is found. }
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100, TimeUnit.MILLISECONDS)); engine.addEvolutionObserver(statusBar); return engine.evolve(populationSize, eliteCount, new TargetFitness(0, false), // Continue until a perfect solution is found... abortControl.getTerminationCondition()); // ...or the user aborts. } @Override