Approximation Algorithms and an FPTAS for the Single Machine Problem with Biased Tardiness Penalty

G. Moslehi and K. Kianfar

Journal of Applied Mathematics, 2014, vol. 2014, 1-10

Abstract:

This paper addresses a new performance measure for scheduling problems, entitled “biased tardiness penalty.†We study the approximability of minimum biased tardiness on a single machine, provided that all the due dates are equal. Two heuristic algorithms are developed for this problem, and it is shown that one of them has a worst-case ratio bound of 2. Then, we propose a dynamic programming algorithm and use it to design an FPTAS. The FPTAS is generated by cleaning up some states in the dynamic programming algorithm, and it requires time.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljam:679702

DOI: 10.1155/2014/679702

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