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Scheduling Coupled-Tasks on a Single Machine

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2 Author(s)
Haibing Li ; Lehman Bros. Inc., New York, NY ; Hairong Zhao

In this paper, we consider the coupled-task scheduling problem, to schedule n jobs on a single machine. Each job consists of two coupled tasks which have to be processed in a predetermined order and at exactly a specified interval apart. The objective is to minimize the makespan. The problem was shown to be NP-hard in the strong sense even for some special cases. We analyze some heuristics with worst-case bounds for some NP-hard cases. In addition, we present a tabu search meta-heuristic for solving the general case. Computational results show that the meta-heuristic is efficient to solve the problem in terms of solution quality and running time

Published in:

Computational Intelligence in Scheduling, 2007. SCIS '07. IEEE Symposium on

Date of Conference:

1-5 April 2007

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