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  2. Coffman–Graham algorithm - Wikipedia

    en.wikipedia.org/wiki/Coffman–Graham_algorithm

    [8] [9] For instance, for W = 3, this means that it uses at most 4/3 times as many levels as is optimal. When the partial order of precedence constraints is an interval order , or belongs to several related classes of partial orders, the Coffman–Graham algorithm finds a solution with the minimum number of levels regardless of its width bound.

  3. Modified due-date scheduling heuristic - Wikipedia

    en.wikipedia.org/wiki/Modified_due-date...

    The modified due date scheduling is a scheduling heuristic created in 1982 by Baker and Bertrand, [1] used to solve the NP-hard single machine total-weighted tardiness problem. This problem is centered around reducing the global tardiness of a list of tasks which are characterized by their processing time, due date and weight by re-ordering them.

  4. Longest-processing-time-first scheduling - Wikipedia

    en.wikipedia.org/wiki/Longest-processing-time...

    If Q j contains exactly two large items x>y, and x2, then there is at least 8/3+4/3=4. If x+y≤10/3, then the sum of small items must be at least 2/3, so the total weight is at least 4/3+4/3+2*2/3=4. Otherwise, x>5/3. So x was the first input in some greedy bin P m. Let z be the second input added into P m.

  5. Unrelated-machines scheduling - Wikipedia

    en.wikipedia.org/wiki/Unrelated-machines_scheduling

    Unrelated-machines scheduling is an optimization problem in computer science and operations research.It is a variant of optimal job scheduling.We need to schedule n jobs J 1, J 2, ..., J n on m different machines, such that a certain objective function is optimized (usually, the makespan should be minimized).

  6. Uniform-machines scheduling - Wikipedia

    en.wikipedia.org/wiki/Uniform-machines_scheduling

    Uniform machine scheduling (also called uniformly-related machine scheduling or related machine scheduling) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling. We are given n jobs J 1, J 2, ..., J n of varying processing times, which need to be scheduled on m different machines.

  7. Interval scheduling - Wikipedia

    en.wikipedia.org/wiki/Interval_scheduling

    The following greedy algorithm finds a solution that contains at least 1/2 of the optimal number of intervals: [8] Select the interval, x, with the earliest finishing time. Remove x, and all intervals intersecting x, and all intervals in the same group of x, from the set of candidate intervals. Continue until the set of candidate intervals is ...

  8. Parallel task scheduling - Wikipedia

    en.wikipedia.org/wiki/Parallel_task_scheduling

    Parallel task scheduling (also called parallel job scheduling [1] [2] or parallel processing scheduling [3]) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling .

  9. List scheduling - Wikipedia

    en.wikipedia.org/wiki/List_scheduling

    List scheduling is a greedy algorithm for Identical-machines scheduling.The input to this algorithm is a list of jobs that should be executed on a set of m machines. The list is ordered in a fixed order, which can be determined e.g. by the priority of executing the jobs, or by their order of arrival.