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Model tightening for integrated timber harvest and transportation planning
Integrated timber harvest and transportation planning problems can be modeled as 0-1 mixed integer programming problems, but initial computations led to large integrality gaps which cannot be overcome easily. In this paper we show how this situation can be substantially improved by a combination of...
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Published in: | European journal of operational research 1998-12, Vol.111 (3), p.448-460 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Integrated timber harvest and transportation planning problems can be modeled as 0-1 mixed integer programming problems, but initial computations led to large integrality gaps which cannot be overcome easily. In this paper we show how this situation can be substantially improved by a combination of techniques, such as: addition of logical inequalities, lifting of inequalities and careful selection of Branch-and-Bound branching priorities based on a consideration of double-contraction. We compare various combinations of tightening techniques in terms of number of (integer) variables and constraints, LP bound, number of nodes in the Branch-and-Bound tree and CPU time. |
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ISSN: | 0377-2217 1872-6860 |
DOI: | 10.1016/S0377-2217(97)00362-7 |