Secondary Objective Optimization
Secondary Objective Optimization is a methodological framework in redundancy resolution that, as a secondary objective, enhances the primary solution by minimizing residual redundancy through auxiliary optimization criteria distinct from the main goal.
88
Publications
3.4K
Citations
265
Authors
156
Institutions
Publications per year
2017–2026
35
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156

Delft University of Technology
Delft, The Netherlands
3 h-index
10 publications
662 citations
University of Klagenfurt
Klagenfurt, Austria
2 h-index
4 publications
128 citations

Zhejiang University
Hangzhou, China
2 h-index
4 publications
94 citations
University of South Carolina
Columbia, United States
2 h-index
2 publications
34 citations
Shell (Netherlands)
The Hague, The Netherlands
2 h-index
2 publications
154 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
4 publications
68 citations

University of Gothenburg
Gothenburg, Sweden
2 h-index
2 publications
34 citations
IBM (United States)
Armonk, United States
2 h-index
3 publications
104 citations
1–8 of 156
9 publications · 396 citations
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2 publications · 255 citations
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2 publications · 53 citations
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2 publications · 41 citations
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2 publications · 32 citations
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