Randomized Optimization
Randomized Optimization is an optimization method that belongs to the class of unconstrained optimization techniques, distinguished by its use of stochastic processes to guide the search for optimal solutions, thereby enabling escape from local minima and exploration of complex, high-dimensional landscapes.
291
Publications
17.4K
Citations
622
Authors
275
Institutions
Publications per year
2017–2026
88
Parents
291
The CMA Evolution Strategy: A Tutorial
Nikolaus Hansen · arXiv (Cornell University) · 2016 · 648 citations · Full text
The CMA Evolution Strategy: A Tutorial
Nikolaus Hansen · arXiv (Cornell University) · 2005 · 617 citations · Full text
Selecting Stars: The k Most Representative Skyline Operator
Xuemin Lin, Yidong Yuan, Qing Zhang et al. · 2007 · 393 citations
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275

University of Edinburgh
Edinburgh, United Kingdom
10 h-index
14 publications
420 citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
24 publications
595 citations
ETH Zurich
Zurich, Switzerland
8 h-index
17 publications
524 citations
University of California, Berkeley
Berkeley, United States
7 h-index
16 publications
1.5K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
13 publications
870 citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
17 publications
2.1K citations
Politecnico di Milano
Milan, Italy
6 h-index
12 publications
345 citations
Microsoft (United States)
Redmond, United States
6 h-index
7 publications
408 citations
1–8 of 275
Repository · 36 publications · 2.1K citations
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10 publications · 884 citations
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9 publications · 487 citations
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8 publications · 558 citations
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Conference · 4 publications · 215 citations
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