Integer Programming For Allocation
Integer Programming for Allocation is an optimization modeling framework within operations research that formulates resource distribution problems as mathematical programs requiring decision variables to take integer values, thereby ensuring discrete feasibility in allocation decisions.
247
Publications
11K
Citations
610
Authors
308
Institutions
Publications per year
2017–2026
43
Parents
247
Nikhil Bansal, Maxim Sviridenko · 2006 · 269 citations
Exact and Heuristic Algorithms for the Weapon-Target Assignment Problem
Ravindra K. Ahuja, Arvind Kumar, Krishna C. Jha et al. · Operations Research · 2007 · 233 citations
Augusto C. Rueda‐Medina, John F. Franco, Marcos J. Rider et al. · Electric Power Systems Research · 2013 · 226 citations
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The University of Texas at Austin
Austin, United States
6 h-index
6 publications
292 citations
Texas A&M University
College Station, United States
5 h-index
10 publications
430 citations
Beijing Jiaotong University
Beijing, China
4 h-index
16 publications
443 citations
University of Florida
Gainesville, United States
3 h-index
5 publications
325 citations

Kyoto University
Kyoto, Japan
3 h-index
5 publications
1.3K citations
University of California, Berkeley
Berkeley, United States
3 h-index
6 publications
224 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
7 publications
304 citations
Tsinghua University
Beijing, China
3 h-index
10 publications
354 citations
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11 publications · 657 citations
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11 publications · 522 citations
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11 publications · 549 citations
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OR · 11 publications · 1K citations
10
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7 publications · 250 citations
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