Game-theoretic Optimization
Game-Theoretic Optimization is a formal framework for modeling and solving resource allocation problems in which strategic interactions among rational decision-makers are optimized using equilibrium concepts from game theory.
2.8K
Publications
141.3K
Citations
6K
Authors
1.7K
Institutions
Publications per year
2017–2026
1K
Parents
2.8K
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
Xu Chen, Lei Jiao, Wenzhong Li et al. · IEEE/ACM Transactions on Networking · 2015 · 2.6K citations
Decomposition Principle for Linear Programs
George B. Dantzig, Philip Wolfe · Operations Research · 1960 · 2.3K citations
Algorithms, games, and the internet
Christos H. Papadimitriou · 2001 · 1.1K citations
The Economics of Matching: Stability and Incentives
Alvin E. Roth · Mathematics of Operations Research · 1982 · 925 citations
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1.7K
Nanyang Technological University
Singapore, Singapore
29 h-index
86 publications
3.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
28 h-index
87 publications
6.3K citations
Isfahan University of Technology
Isfahan, Iran
26 h-index
77 publications
4.9K citations
University of Southern California
Los Angeles, United States
25 h-index
99 publications
5.4K citations
Virginia Tech
Blacksburg, United States
24 h-index
60 publications
7.3K citations
Tsinghua University
Beijing, China
22 h-index
64 publications
3.8K citations
Carnegie Mellon University
Pittsburgh, United States
22 h-index
54 publications
4.2K citations
Princeton University
Princeton, United States
22 h-index
47 publications
4.6K citations
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52 publications · 2.9K citations
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40 publications · 1.9K citations
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31 publications · 1.9K citations
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31 publications · 2K citations
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39 publications · 1.4K citations
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