Sequential Optimization
Sequential Optimization is a parametric optimization method that iteratively refines decision variables through a series of adaptive stages, where each stage utilizes information from prior evaluations to guide subsequent searches within the parameter space.
938
Publications
59K
Citations
2.6K
Authors
941
Institutions
Publications per year
2017–2026
295
Variants
Sequential Parametric Optimization
938
Estimating the Support of a High-Dimensional Distribution
Bernhard Schölkopf, John Platt, John Shawe‐Taylor et al. · Neural Computation · 2001 · 5.9K citations
Improvements to Platt's SMO Algorithm for SVM Classifier Design
S. Sathiya Keerthi, Shirish Shevade, Chiranjib Bhattacharyya et al. · Neural Computation · 2001 · 1.8K citations
1–5 of 938
2.6K
10
h-index
Missouri University of Science and Technology, United States
9 publications · 502 citations
9
h-index
TH Köln - University of Applied Sciences, Germany
9 publications · 554 citations
9
h-index
7
h-index
7
h-index
1–5 of 2.6K
941
University of Michigan
Ann Arbor, United States
15 h-index
42 publications
918 citations

University of Electronic Science and Technology of China
Chengdu, China
13 h-index
53 publications
2.2K citations

Huazhong University of Science and Technology
Wuhan, China
13 h-index
38 publications
1.8K citations
University of California, Berkeley
Berkeley, United States
12 h-index
27 publications
6K citations

Shanghai Jiao Tong University
Shanghai, China
12 h-index
33 publications
1.2K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
30 publications
2.3K citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
11 h-index
26 publications
1.1K citations
Stanford University
Stanford, United States
11 h-index
24 publications
1.3K citations
1–8 of 941
21 publications · 1.4K citations
19
h-index
Repository · 28 publications · 1K citations
18
h-index
19 publications · 910 citations
16
h-index
10 publications · 664 citations
10
h-index
11 publications · 287 citations
10
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1–5