Multi-objective Response Surface Analysis
Multi-Objective Response Surface Analysis is a statistical optimization framework that extends classical response surface methodology by simultaneously modeling and optimizing multiple conflicting response variables through the construction of empirical response surfaces and the identification of Pareto-optimal solutions.
225
Publications
25.7K
Citations
781
Authors
355
Institutions
Publications per year
2017–2026
94
Parents
225
1–5 of 225
781
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355
Jiangsu University
Zhenjiang, China
4 h-index
17 publications
435 citations

Universidad de La Rioja
Logroño, Spain
4 h-index
12 publications
571 citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
4 h-index
10 publications
1.1K citations
University of Florida
Gainesville, United States
4 h-index
12 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
11 publications
636 citations

Tilburg University
Tilburg, The Netherlands
4 h-index
6 publications
469 citations
National Institute of Technology Agartala
Agartala, India
3 h-index
11 publications
181 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
9 publications
569 citations
1–8 of 355
7 publications · 365 citations
7
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6 publications · 850 citations
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6 publications · 460 citations
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4 publications · 294 citations
4
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3 publications · 100 citations
3
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1–5