Minimizing total flow time in single machine environment with release time: An experimental analysis
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作者:
Guo, Y
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机构:Hong Kong Univ Sci & Technol, Dept Ind Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
Guo, Y
Lim, A
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Hong Kong Univ Sci & Technol, Dept Ind Engn & Engn Management, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Ind Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
Lim, A
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Rodrigues, B
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机构:Hong Kong Univ Sci & Technol, Dept Ind Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
Rodrigues, B
Yu, S
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机构:Hong Kong Univ Sci & Technol, Dept Ind Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
Yu, S
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[1] Hong Kong Univ Sci & Technol, Dept Ind Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
We study the problem of minimizing total flow time on a single machine with job release times. This problem is NP-complete for which is no constant ratio approximation algorithm. Our objective is to study experimentally how well, on average, the problem can be solved. The algorithm we use produces non-preemptive schedules converted from preemptive ones. We evaluate average solution quality for the problem to identify the characteristics of difficult instances. Results obtained are compared with those recently obtained by other researchers. Based on extensive experiments, we also develop an empirical model to predict solution quality using interpolation. (C) 2004 Elsevier Ltd. All rights reserved.