The collection of n tasks with known processing times and due dates can be referred to as the EDD rule; the least value of Lmax is obtained by sequencing the jobs in non-decreasing order of their due dates.
The goal of the interval scheduling maximization problem (ISMP) is to identify the largest compatible set, or a collection of intervals with the least possible overlap. The idea is to optimize throughput by completing as many tasks as you can. Greedy algorithms typically operate by beginning with an empty or "base" solution and adding items one at a time until all of them have been added and have the best "score" by the algorithm's defined standards.
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