Global Optimization
Global Optimization is an optimization problem-solving approach that seeks the absolute best solution across the entire feasible region, distinguishing itself from local optimization by guaranteeing optimality over all possible solutions rather than merely within a neighborhood of a point.
10.2K
Publications
741.2K
Citations
19.3K
Authors
3.8K
Institutions
Publications per year
2017–2026
3.6K
10.2K
GSA: A Gravitational Search Algorithm
Esmat Rashedi, Hossein Nezamabadi–pour, Saeı̈d Saryazdi · Information Sciences · 2009 · 7.3K citations
Practical methods of optimization
Mathematics and Computers in Simulation · 1988 · 5.9K citations
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Nanyang Technological University, Singapore
33 publications · 17.2K citations
27
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3.8K
Princeton University
Princeton, United States
58 h-index
190 publications
21.3K citations
Nanyang Technological University
Singapore, Singapore
53 h-index
180 publications
45.3K citations

Centre National de la Recherche Scientifique
Paris, France
48 h-index
272 publications
16.8K citations
Carnegie Mellon University
Pittsburgh, United States
48 h-index
186 publications
15.2K citations
Massachusetts Institute of Technology
Cambridge, United States
47 h-index
184 publications
15.6K citations
University of California, Berkeley
Berkeley, United States
42 h-index
128 publications
16.4K citations

Huazhong University of Science and Technology
Wuhan, China
40 h-index
326 publications
16K citations
Tsinghua University
Beijing, China
38 h-index
187 publications
13.4K citations
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221 publications · 16.5K citations
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281 publications · 17.3K citations
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157 publications · 24.7K citations
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163 publications · 24K citations
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138 publications · 25.8K citations
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