Mixed-Integer Location Models is a location-allocation modeling framework that belongs to the class of optimization models for facility location problems and is distinguished by its incorporation of both continuous variables for spatial allocation decisions and integer variables to represent discrete facility placement choices.
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4.6K
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193
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131
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2017–2026
19
Publications
83
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Authors
193
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1–5 of 193
Institutions
131
National University of Singapore
Singapore, Singapore
3 h-index
3 publications
42 citations
Universidad de Sevilla
Seville, Spain
3 h-index
5 publications
211 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
5 publications
234 citations
University of Coimbra
Coimbra, Portugal
3 h-index
4 publications
92 citations
Qazvin Islamic Azad University
Qazvin, Iran
2 h-index
4 publications
98 citations
Shanghai Jiao Tong University
Shanghai, China
2 h-index
4 publications
76 citations
California University of Pennsylvania
California, United States
2 h-index
2 publications
45 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
2 publications
28 citations
1–8 of 131
Venues
- European Journal of Operational Research
8 publications · 981 citations
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- Computers & Operations Research
6 publications · 384 citations
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- Computers & Industrial Engineering
6 publications · 462 citations
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- Geographical Analysis
4 publications · 434 citations
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- Transportation Research Part E Logistics and Transportation Review
3 publications · 68 citations
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