在A和b之间生成n个随机数的简单方法例如a=90，b=100，n=20

Random r = new Random();
for(int i =0; i<20; i++){
    System.out.println(r.ints(90, 100).iterator().nextInt());
}

r.ints（）返回一个IntStream，并有几个有用的方法，看看它的API。

这里有一个有用的类，可以在包含/排除边界的任意组合范围内生成随机整数：

import java.util.Random;

public class RandomRange extends Random {
    public int nextIncInc(int min, int max) {
        return nextInt(max - min + 1) + min;
    }

    public int nextExcInc(int min, int max) {
        return nextInt(max - min) + 1 + min;
    }

    public int nextExcExc(int min, int max) {
        return nextInt(max - min - 1) + 1 + min;
    }

    public int nextIncExc(int min, int max) {
        return nextInt(max - min) + min;
    }
}

我使用这个：

 /**
   * @param min - The minimum.
   * @param max - The maximum.
   * @return A random double between these numbers (inclusive the minimum and maximum).
   */
 public static double getRandom(double min, double max) {
   return (Math.random() * (max + 1 - min)) + min;
 }

如果需要，可以将其转换为整数。

因为Android的问题在这里重定向，这就是你如何使用Kotlin：

val r = (0..10).random() // A random integer between 0 and 10 inclusive

这适用于Kotlin 1.3及更高版本。请参阅此答案。

我已经创建了一个方法来获取给定范围内的唯一整数。

/*
      * minNum is the minimum possible random number
      * maxNum is the maximum possible random number
      * numbersNeeded is the quantity of random number required
      * the give method provides you with unique random number between min & max range
*/
public static Set<Integer> getUniqueRandomNumbers( int minNum , int maxNum ,int numbersNeeded ){

    if(minNum >= maxNum)
        throw new IllegalArgumentException("maxNum must be greater than minNum");

    if(! (numbersNeeded > (maxNum - minNum + 1) ))
        throw new IllegalArgumentException("numberNeeded must be greater then difference b/w (max- min +1)");

    Random rng = new Random(); // Ideally just create one instance globally

    // Note: use LinkedHashSet to maintain insertion order
    Set<Integer> generated = new LinkedHashSet<Integer>();
    while (generated.size() < numbersNeeded)
    {
        Integer next = rng.nextInt((maxNum - minNum) + 1) + minNum;

        // As we're adding to a set, this will automatically do a containment check
        generated.add(next);
    }
    return generated;
}

我正在考虑使用以下方法将生成的随机数线性归一化到所需范围。设x为随机数，设a和b为期望归一化数的最小和最大范围。

下面是一个非常简单的代码片段，用来测试线性映射产生的范围。

public static void main(String[] args) {
    int a = 100;
    int b = 1000;
    int lowest = b;
    int highest = a;
    int count = 100000;
    Random random = new Random();
    for (int i = 0; i < count; i++) {
        int nextNumber = (int) ((Math.abs(random.nextDouble()) * (b - a))) + a;
        if (nextNumber < a || nextNumber > b) {
            System.err.println("number not in range :" + nextNumber);
        }
        else {
            System.out.println(nextNumber);
        }
        if (nextNumber < lowest) {
            lowest = nextNumber;
        }
        if (nextNumber > highest) {
            highest = nextNumber;
        }
    }
    System.out.println("Produced " + count + " numbers from " + lowest
            + " to " + highest);
}