Stochastic Global Optimization
Stochastic Global Optimization is a global optimization method that incorporates randomization in its search process to explore the solution space and escape local optima, thereby increasing the likelihood of converging to the global optimum in complex, multimodal landscapes.
241
Publications
16.2K
Citations
544
Authors
283
Institutions
Publications per year
2017–2026
42
Parents
241
1–5 of 241
544
7
h-index
6
h-index
Universidad Tecnológica de Aguascalientes, Mexico
6 publications · 179 citations
6
h-index
6
h-index
5
h-index
1–5 of 544
283
Erasmus University Rotterdam
Rotterdam, The Netherlands
7 h-index
14 publications
2.9K citations
Fudan University
Shanghai, China
6 h-index
20 publications
2.1K citations
National University of Singapore
Singapore, Singapore
6 h-index
11 publications
366 citations
Universidad Tecnológica de Aguascalientes
Aguascalientes, Mexico
5 h-index
5 publications
123 citations
Collaborative Innovation Center of Chemistry for Energy Materials
Shanghai, China
5 h-index
17 publications
1.8K citations
Technical University of Munich
Munich, Germany
4 h-index
8 publications
528 citations
University of California, Berkeley
Berkeley, United States
4 h-index
4 publications
884 citations
Instituto Tecnológico de Aguascalientes
Aguascalientes, Mexico
4 h-index
4 publications
98 citations
1–8 of 283
14 publications · 2.1K citations
12
h-index
7 publications · 276 citations
7
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6 publications · 578 citations
6
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5 publications · 1.5K citations
5
h-index
5 publications · 739 citations
5
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1–5