Dynamic Optimization is a branch of mathematical optimization that studies the determination of optimal decision rules or trajectories for systems evolving over time, typically by maximizing or minimizing an intertemporal objective function subject to dynamic constraints represented by difference or differential equations.
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2017–2026
1.1K
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Optimal Control Theory
Publications
3.4K
Alan Yuille, Anand Rangarajan · Neural Computation · 2003 · 1.2K citations
Tracking and optimizing dynamic systems with particle swarms
R.C. Eberhart, Yuhui Shi · 2002 · 1K citations
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De Montfort University
Leicester, United Kingdom
31 h-index
72 publications
4.9K citations
Massachusetts Institute of Technology
Cambridge, United States
28 h-index
90 publications
5.1K citations
Northeastern University
Shenyang, China
28 h-index
105 publications
5.4K citations
Carnegie Mellon University
Pittsburgh, United States
27 h-index
68 publications
6.9K citations
Huazhong University of Science and Technology
Wuhan, China
26 h-index
95 publications
7.4K citations
University of Birmingham
Birmingham, United Kingdom
25 h-index
51 publications
3.1K citations
University of Pretoria
Pretoria, South Africa
23 h-index
70 publications
2.8K citations
University of Leicester
Leicester, United Kingdom
23 h-index
29 publications
2.8K citations
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- Applied Soft Computing
69 publications · 4.3K citations
37
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- Computers & Chemical Engineering
83 publications · 5.7K citations
36
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- IEEE Transactions on Evolutionary Computation
44 publications · 6.6K citations
35
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- European Journal of Operational Research
59 publications · 3.5K citations
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- Information Sciences
59 publications · 3.6K citations
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