Multi-Objective Ranking is a ranking paradigm that, as a member of the broader class of relevance ranking methods, distinguishes itself by simultaneously optimizing multiple, potentially conflicting objective functions to produce a prioritized list of documents or items.
99
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4.6K
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325
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152
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Publications per year
2017–2026
46
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99
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Zhe Zhao, Lichan Hong, Wei Li et al. · 2019 · 309 citations
Finding the non-dominated Pareto set for multi-objective simulation models
Loo Hay Lee, Ek Peng Chew, Suyan Teng et al. · IIE Transactions · 2010 · 154 citations
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Authors
325
- EP
6
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- LH
6
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- ST
5
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- TB
3
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- ĐN
2
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1–5 of 325
Institutions
152
National University of Singapore
Singapore, Singapore
6 h-index
20 publications
924 citations
Tsinghua University
Beijing, China
5 h-index
9 publications
468 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
3 publications
236 citations
University of Michigan
Ann Arbor, United States
2 h-index
4 publications
262 citations
The University of Osaka
Osaka, Japan
2 h-index
5 publications
432 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
5 publications
85 citations
Lithuanian Institute of Agrarian Economics
Vilnius, Lithuania
2 h-index
2 publications
199 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
2 h-index
6 publications
84 citations
1–8 of 152
Venues
- IEEE Access
3 publications · 72 citations
3
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- Information Sciences
3 publications · 261 citations
3
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- Expert Systems with Applications
2 publications · 79 citations
2
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- European Journal of Operational Research
2 publications · 25 citations
2
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- Decision Support Systems
2 publications · 67 citations
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