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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/651

Title: A hybrid algorithm for the single-machine total tardiness problem
Authors: Cheng, T. C. Edwin
Lazarev, A. A.
Gafarov, E. R.
Subjects: Scheduling
Meta-heuristics
Issue Date: Feb-2009
Publisher: Elsevier Ltd.
Citation: Computers & operations research, Feb. 2009, v. 36, no. 2, p. 308-315.
Abstract: We propose a hybrid algorithm based on the ant colony optimization (ACO) meta-heuristic, in conjunction with four well-known elimination rules, to tackle the NP-hard single-machine scheduling problem to minimize the total job tardiness. The hybrid algorithm has the same running time as that of ACO. We conducted extensive computational experiments to test the performance of the hybrid algorithm and ACO. The computational results show that the hybrid algorithm can produce optimal or near-optimal solutions quickly, and its performance compares favourably with that of ACO for handling standard instances of the problem.
Description: DOI:10.1016/j.cor.2007.10.002
Rights: Computers & Operations Research © 2007 Elsevier Ltd. The journal web site is located at http://www.sciencedirect.com.
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/651
ISSN: 03050548
Appears in Collections:LMS Journal/Magazine Articles

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