Interval scheduling is a problem in computer science and operations research that involves selecting a set of non-overlapping intervals from a given list. Each interval is defined by a start time and an end time, and the goal is to maximize the number of intervals selected without any overlaps. This is particularly useful in resource allocation, such as scheduling meetings or tasks. To solve the interval scheduling problem efficiently, a common approach is to use a greedy algorithm. This algorithm sorts the intervals by their end times and iteratively selects the next interval that starts after the last selected interval ends. This method ensures that the maximum number of non-overlapping intervals is chosen.