Abstract
A method for finding an approximate solution for NP-hard scheduling problems is proposed. The example of the classical NP-hard in the strong sense problem of minimizing the maximum lateness of job processing with a single machine shows how a metric introduced on the instance space of the problem and polynomially solvable areas can be used to find an approximate solution with a guaranteed absolute error. The method is evaluated theoretically and experimentally and is compared with the ED-heuristic. Additionally, for the problem under consideration, we propose a numerical characteristic of polynomial unsolvability, namely, an upper bound for the guaranteed absolute error for each equivalence class of the instance space.
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Original Russian Text © A.A. Lazarev, D.I. Arkhipov, 2018, published in Doklady Akademii Nauk, 2018, Vol. 480, No. 5, pp. 523–527.
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Lazarev, A.A., Arkhipov, D.I. Estimation of the Absolute Error and Polynomial Solvability for a Classical NP-Hard Scheduling Problem. Dokl. Math. 97, 262–265 (2018). https://doi.org/10.1134/S1064562418030201
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DOI: https://doi.org/10.1134/S1064562418030201