Layout Optimization Under Uncertainty
Layout Optimization Under Uncertainty is a computational framework within layout optimization that explicitly accounts for unpredictable variations in input parameters, spatial demands, or operational conditions by integrating stochastic, fuzzy, or robust optimization techniques to produce resilient and adaptive spatial configurations.
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2.3K
Citations
162
Authors
86
Institutions
Publications per year
2017–2026
20
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Qinglian Lin, Hu‐Chen Liu, Duo-Jin Wang et al. · Journal of Intelligent Manufacturing · 2013 · 104 citations
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Wichita State University
Wichita, United States
3 h-index
7 publications
299 citations

Sharif University of Technology
Tehran, Iran
3 h-index
8 publications
275 citations

University of Tehran
Tehran, Iran
2 h-index
6 publications
162 citations
Siemens (Germany)
Munich, Germany
2 h-index
2 publications
56 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
103 citations

Northwestern Polytechnical University
Xi'an, China
2 h-index
7 publications
277 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
2 h-index
10 publications
225 citations

Chongqing University
Chongqing, China
2 h-index
4 publications
66 citations
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4 publications · 274 citations
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3 publications · 182 citations
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3 publications · 89 citations
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3 publications · 146 citations
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