Multi-resource Objectives
Multi-Resource Objectives is a selection system framework that integrates multiple heterogeneous resource types into a unified objective function, distinguishing it from single-resource or monolithic optimization approaches by explicitly accounting for trade-offs and synergies across diverse resource constraints and performance criteria.
19
Publications
978
Citations
65
Authors
35
Institutions
Publications per year
2017–2026
6
Parents
19
1–5 of 19
65
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35

Shanghai Jiao Tong University
Shanghai, China
2 h-index
7 publications
136 citations
Morehead State University
Morehead, United States
2 h-index
2 publications
42 citations
University of Virginia
Charlottesville, United States
2 h-index
3 publications
59 citations
Princeton University
Princeton, United States
1 h-index
1 publications
13 citations

Stevens Institute of Technology
Hoboken, United States
1 h-index
2 publications
26 citations

Wuppertal Institute for Climate, Environment and Energy
Wuppertal, Germany
1 h-index
2 publications
104 citations
ASCE Foundation
Reston, United States
1 h-index
3 publications
264 citations
Virginia Tech
Blacksburg, United States
1 h-index
1 publications
79 citations
1–8 of 35
1 publications · 13 citations
1
h-index
1 publications · 79 citations
1
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1 publications · 38 citations
1
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1 publications · 23 citations
1
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1 publications · 13 citations
1
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1–5