用Java 这一个AI 建模语言程序

Java并不是一个AI建模语言，但是可以使用Java编写AI建模的程序。下面是一个简单的例子，使用Java实现一个基于遗传算法的优化模型：

public class GeneticAlgorithm {
    private double[] population;
    private double mutationRate;
    private int populationSize;
    private double targetFitness;

    public GeneticAlgorithm(int populationSize, double mutationRate, double targetFitness) {
        this.populationSize = populationSize;
        this.mutationRate = mutationRate;
        this.targetFitness = targetFitness;

        // Initialize population randomly
        population = new double[populationSize];
        for (int i = 0; i < populationSize; i++) {
            population[i] = Math.random();
        }
    }

    public double run() {
        double bestFitness = 0.0;
        int generation = 0;

        while (bestFitness < targetFitness) {
            generation++;
            double[] newPopulation = new double[populationSize];

            // Keep the best individual from the previous generation
            double bestIndividual = getBestIndividual();
            newPopulation[0] = bestIndividual;

            // Generate new individuals using mutation and crossover
            for (int i = 1; i < populationSize; i++) {
                double parent1 = selectIndividual();
                double parent2 = selectIndividual();
                double child = crossover(parent1, parent2);
                child = mutate(child);
                newPopulation[i] = child;
            }

            population = newPopulation;
            bestFitness = getBestFitness();

            System.out.println("Generation " + generation + ": Best fitness = " + bestFitness);
        }

        return getBestIndividual();
    }

    private double getBestIndividual() {
        double bestIndividual = population[0];
        double bestFitness = fitness(population[0]);

        for (int i = 1; i < populationSize; i++) {
            double fitness = fitness(population[i]);
            if (fitness > bestFitness) {
                bestIndividual = population[i];
                bestFitness = fitness;
            }
        }

        return bestIndividual;
    }

    private double getBestFitness() {
        double bestFitness = fitness(population[0]);

        for (int i = 1; i < populationSize; i++) {
            double fitness = fitness(population[i]);
            if (fitness > bestFitness) {
                bestFitness = fitness;
            }
        }

        return bestFitness;
    }

    private double selectIndividual() {
        double fitnessSum = 0.0;

        for (double individual : population) {
            fitnessSum += fitness(individual);
        }

        double rand = Math.random() * fitnessSum;

        for (double individual : population) {
            rand -= fitness(individual);
            if (rand <= 0.0) {
                return individual;
            }
        }

        return population[populationSize - 1];
    }

    private double crossover(double parent1, double parent2) {
        return (parent1 + parent2) / 2.0;
    }

    private double mutate(double individual) {
        if (Math.random() < mutationRate) {
            return Math.random();
        } else {
            return individual;
        }
    }

    private double fitness(double individual) {
        return (Math.sin(10.0 * Math.PI * individual) / (2.0 * individual)) + 0.5;
    }
}

这个程序实现了一个简单的遗传算法，用于最小化一个函数。使用这个程序可以解决各种优化问题。