A strong conic quadratic reformulation for machine-job assignment with controllable processing times

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A_strong_conic_quadratic_reformulation_for_machine-job_assignment_with_controllable_processing_times.pdf (929.22 KB)

Date

2009

Authors

Aktürk, M. S.
Atamtürk, A.
Gürel, S.

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Abstract

We describe a polynomial-size conic quadratic reformulation for a machine-job assignment problem with separable convex cost. Because the conic strengthening is based only on the objective of the problem, it can also be applied to other problems with similar cost functions. Computational results demonstrate the effectiveness of the conic reformulation.

Source Title

Operations Research Letters

Publisher

Elsevier

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Keywords

Conic quadratic integer programming, Separable convex functions, Computational results, Conic quadratic integer programming, Conic reformulations, Controllable processing time, Dynamic programming, Integer programming

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http://hdl.handle.net/11693/22764

Published Version (Please cite this version)

http://dx.doi.org/10.1016/j.orl.2008.12.009

Collections

Scholarly Publications - Industrial Engineering

Language

English

Type

Article