Mixed-integer Programming For Layout
Mixed-Integer Programming for Layout is a mathematical optimization framework that belongs to the class of mixed-integer programming models and is specifically characterized by its integration of discrete and continuous decision variables to represent and optimize the arrangement, assignment, and spatial relationships of facilities, components, or units in a layout design problem.
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Publications
3.8K
Citations
132
Authors
72
Institutions
Publications per year
2017–2026
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University of Arkansas at Fayetteville, United States
3 publications · 348 citations
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1–5 of 132
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Pennsylvania State University
State College, United States
4 h-index
7 publications
488 citations

Sharif University of Technology
Tehran, Iran
3 h-index
7 publications
309 citations
Universidade Federal do Espírito Santo
Vitória, Brazil
3 h-index
4 publications
156 citations

University of Rochester
Rochester, United States
3 h-index
6 publications
228 citations
Korea Aerospace University
Goyang-si, South Korea
2 h-index
2 publications
83 citations

Southwest Jiaotong University
Chengdu, China
2 h-index
6 publications
252 citations
University of Missouri
Columbia, United States
2 h-index
6 publications
141 citations

University of Minnesota
Minneapolis, United States
2 h-index
6 publications
318 citations
1–8 of 72
13 publications · 591 citations
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6 publications · 291 citations
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3 publications · 169 citations
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3 publications · 164 citations
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3 publications · 177 citations
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