Knee Point Optimization
Knee Point Optimization is a solution selection strategy within continuous multi-criteria optimization that identifies the most preferred compromise solution by pinpointing the point of maximum marginal improvement on the Pareto front, where further gains in one objective yield diminishing returns relative to losses in others.
30
Publications
2.4K
Citations
93
Authors
55
Institutions
Publications per year
2017–2026
21
30
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55

University of Surrey
Guildford, United Kingdom
4 h-index
6 publications
1.1K citations
Taiyuan University of Science and Technology
Taiyuan, China
2 h-index
8 publications
292 citations

Oklahoma State University
Stillwater, United States
2 h-index
2 publications
323 citations
Sri Guru Granth Sahib World University
Fatehgarh Chūriān, India
2 h-index
2 publications
54 citations

Anhui University
Hefei, China
2 h-index
7 publications
1.8K citations
Dalian University of Technology
Dalian, China
2 h-index
6 publications
294 citations
Shandong Institute of Automation
Jinan, China
2 h-index
2 publications
66 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
66 citations
1–8 of 55
2 publications · 1.1K citations
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IJVD · 2 publications · 54 citations
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1 publications · 47 citations
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1 publications · 50 citations
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1 publications · 30 citations
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