Integer Quadratic Programming is a mathematical optimization problem in which a quadratic objective function is minimized or maximized subject to linear constraints and the additional requirement that all decision variables must take integer values.
462
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29.6K
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1.2K
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511
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Publications per year
2017–2026
138
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Integer Quadratic Program
Parents
Publications
462
Support Vector Machines for Multiple-Instance Learning
Stuart Andrews, Ioannis Tsochantaridis, Thomas Hofmann · 2002 · 1.4K citations
Robust taboo search for the quadratic assignment problem
Éric D. Taillard · Parallel Computing · 1991 · 830 citations
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- AB
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Institutions
511
Tsinghua University
Beijing, China
14 h-index
40 publications
3K citations
IMT School for Advanced Studies Lucca
Lucca, Italy
9 h-index
15 publications
556 citations
Centre National de la Recherche Scientifique
Paris, France
9 h-index
18 publications
1.1K citations
Massachusetts Institute of Technology
Cambridge, United States
9 h-index
17 publications
1.3K citations
Stanford University
Stanford, United States
8 h-index
20 publications
1.5K citations
Nanyang Technological University
Singapore, Singapore
7 h-index
22 publications
712 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
17 publications
753 citations
ETH Zurich
Zurich, Switzerland
6 h-index
16 publications
1.2K citations
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Venues
- Mathematical Programming
21 publications · 2.3K citations
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- European Journal of Operational Research
20 publications · 1.8K citations
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- IEEE Transactions on Power Systems
13 publications · 989 citations
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- IEEE Transactions on Smart Grid
10 publications · 795 citations
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- Management Science
9 publications · 509 citations
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