Trajectory Optimization
Trajectory Optimization is a mathematical framework within astrodynamics, motion planning, and path planning that determines the time-history of state and control variables to extremize a performance index while satisfying dynamic, kinematic, and environmental constraints.
11.9K
Publications
583.3K
Citations
22.8K
Authors
3.4K
Institutions
Publications per year
2017–2026
5.1K
11.9K
A discrete binary version of the particle swarm algorithm
James Kennedy, R.C. Eberhart · 2002 · 4.7K citations
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22.8K
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3.4K
Massachusetts Institute of Technology
Cambridge, United States
75 h-index
488 publications
59.6K citations

Beihang University
Beijing, China
65 h-index
743 publications
36K citations

Beijing Institute of Technology
Beijing, China
57 h-index
768 publications
35.2K citations
Stanford University
Stanford, United States
54 h-index
269 publications
23.4K citations
Carnegie Mellon University
Pittsburgh, United States
54 h-index
303 publications
28.4K citations
ETH Zurich
Zurich, Switzerland
51 h-index
289 publications
27.9K citations
Tsinghua University
Beijing, China
51 h-index
493 publications
23.9K citations
University of Illinois Urbana-Champaign
Urbana, United States
49 h-index
304 publications
16.3K citations
1–8 of 3.4K
902 publications · 53.1K citations
104
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130 publications · 11.1K citations
60
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AST · 287 publications · 11.8K citations
57
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97 publications · 8.7K citations
53
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IJRR · 92 publications · 14.4K citations
52
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