權重: 8  2  11  79
權重返回的值: 0  1  2   3

for i=1 to m '先求和
sum=sum+fit(i)
next i
For i = 1 To n ‘n-是要生成多少個個體
temp = temp + fit(i)
If rnd <= temp / sum Then
   輸出 i 就是結果
Exit Function
End If
Next i

package datastruct; 
 
import java.util.HashMap; 
import java.util.Map; 
 
/**
權重隨機數：
如              權重:8  2  11  79
        權重返回的值:0  1  2   3
@author ajian005 79331356@qq.com
2014-2-16 21:12
輸出結果：{2.0=184128, 11.0=348551, 79.0=1308100, 8.0=159221}
*/ 
 
public class WeightRandomTest { 
    private static double[] weightArrays = {8.0,2.0,11.0,79.0};  // 數組下標是要返回的值，數組值為數組下標的權重 
    public static void main(String[] args) { 
        WeightRandom weightRandom = new WeightRandom(); 
        Map<Double, Integer> stat = new HashMap<Double, Integer>(); 
        for (int i = 0; i < 2000000; i++) { 
            int weightValue = weightRandom.getWeightRandom(weightArrays); 
            if (weightValue < 0) { 
                continue; 
            } 
            System.out.println("按權重返回的隨機數：" + weightValue); 
            if (stat.get(weightArrays[weightValue]) == null) { 
                stat.put(weightArrays[weightValue], 1); 
            } else { 
                stat.put(weightArrays[weightValue], stat.get(weightArrays[weightValue])+1); 
            } 
        } 
        System.out.println(stat); 
    } 
} 
 
class WeightRandom { 
    java.util.Random r = new java.util.Random(); 
    private double weightArraySum(double [] weightArrays) { 
        double weightSum = 0; 
        for (double weightValue : weightArrays) { 
            weightSum += weightValue; 
        } 
        return weightSum; 
    } 
    public int getWeightRandom(double [] weightArrays) { 
        double weightSum = weightArraySum(weightArrays); 
        double stepWeightSum = 0; 
        for (int i = 0; i < weightArrays.length; i++) { 
            stepWeightSum += weightArrays[i]; 
            if (Math.random() <= stepWeightSum/weightSum) { 
                //System.out.println(i); 
                return i; 
            } 
        } 
        System.out.println("出錯誤了"); 
        return -1; 
    }    
}