Reputation: 12346
I have a requirement in my .NET project where I need to select an item from a collection, each item has a Weight (integer from 1 to 10) assigned to it.
I need a random generator that would take this weight into consideration i.e., the higher the weight, the more chances the object would be selected.
Quick copy/paste C# code in case someone stumbles upon this.
class RandomWeightedSelector<T>
{
private List<T> items = new List<T>();
public void Add(T item, uint weight = 1)
{
for (int i = 0; i < weight; i++)
items.Add(item);
}
public T GetRandom()
{
return items[new Random().Next(0, items.Count)];
}
}
Upvotes: 5
Views: 2002
Reputation: 32037
What you're looking for is called the Weighted Selector algorithm. I actually created an open source C# project for this some time ago!
It's very easy to use and efficient. Also, the documentation should get you going with no problem.
Here are a few links:
Upvotes: 1
Reputation: 55009
Here's an algorithm which doesn't require adding the items multiple times to a list. It can also work with non-integer weights, although if you're using NextDouble from System.Random, you'll have to scale all of the weights to add up to 1, or multiply the value from NextDouble with S to get it in the desired range.
Given a list L of items (I,W), where I is the item and W is the weight:
Upvotes: 9
Reputation: 2257
Make a list and insert each item in Weight number of times. Then choose a random item from the list.
Upvotes: 4