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A branch-and-bound algorithm for maximizing the sum of several linear ratios
In this paper, we develop a branch-and-bound algorithm for maximizing a sum of p (≥slant2) linear ratios on a polytope. The problem is embedded into a 2p-dimensional space, in which a concave polyhedral function overestimating the optimal value is constructed for the bounding operation. The branchin...
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Published in: | Journal of global optimization 2002-01, Vol.22 (1-4), p.155 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | In this paper, we develop a branch-and-bound algorithm for maximizing a sum of p (≥slant2) linear ratios on a polytope. The problem is embedded into a 2p-dimensional space, in which a concave polyhedral function overestimating the optimal value is constructed for the bounding operation. The branching operation is carried out in a p-dimensional space, in a way similar to the usual rectangular branch-and-bound method. We discuss the convergence properties and report some computational results. |
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ISSN: | 0925-5001 1573-2916 |
DOI: | 10.1023/A:1013807129844 |