Deterministic Optimization is a mathematical optimization approach that belongs to the class of optimization methods in which the problem formulation and solution process involve no randomness, distinguished by its reliance on precisely known parameters and deterministic algorithms to guarantee reproducible and exact outcomes under identical initial conditions.
764
Publications
38.8K
Citations
1.9K
Authors
765
Institutions
Publications per year
2017–2026
217
Parents
Publications
764
1–5 of 764
Authors
1.9K
- CA
12
h-index
- XDXiaoping Du
Missouri University of Science and Technology, United States
10 publications · 833 citations
10
h-index
- AM
10
h-index
- ZP
8
h-index
- TK
7
h-index
1–5 of 1.9K
Institutions
765
Princeton University
Princeton, United States
15 h-index
31 publications
2.3K citations
RWTH Aachen University
Aachen, Germany
14 h-index
42 publications
1.8K citations
Imperial College London
London, United Kingdom
12 h-index
23 publications
846 citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
20 publications
1.8K citations
University of Michigan
Ann Arbor, United States
12 h-index
31 publications
2K citations
Georgia Institute of Technology
Atlanta, United States
10 h-index
11 publications
2.8K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
17 publications
1K citations
Centre National de la Recherche Scientifique
Paris, France
10 h-index
27 publications
646 citations
1–8 of 765
Venues
- Operations Research
19 publications · 2.3K citations
18
h-index
- Industrial & Engineering Chemistry Research
19 publications · 799 citations
16
h-index
- IEEE Transactions on Power Systems
15 publications · 1.1K citations
15
h-index
- AIChE Journal
15 publications · 820 citations
14
h-index
- IEEE Transactions on Magnetics
15 publications · 472 citations
13
h-index
1–5