PhD Seminar Series: “Lessons Learned from Global Trajectory Optimization”

We continue our seminars serie, on Tuesday, November 3rd, 12:15 H.

On site: Salón de Grados

For this event in the Aerospace PhD Seminar Series, we will have the pleasure of hosting Dr. Zhong Zhang, Marie Skłodowska-Curie Postdoctoral Fellow in the Department of Aerospace Science and Technology, at the Politecnico di Milano, Milan, Italy.

The event will take place in the Salón de Grados on Tuesday, November 3rd, at 12:15 H and will be streamed online.

Zhong Zhang is currently a Marie Skłodowska-Curie Postdoctoral Fellow at the Department of Aerospace Science and Technology, Politecnico di Milano, under the supervision of Prof. Francesco Topputo. He received his B.E. and Ph.D. degrees in Aerospace Engineering from Tsinghua University, Beijing, China, in 2019 and 2024, respectively. His doctoral advisors were Prof. Junfeng Li and Prof. Hexi Baoyin. His research focuses on integrating artificial intelligence techniques with astrodynamics, particularly in the areas of trajectory optimization and optimal control. His Ph.D. dissertation was recognized with the Tsinghua University outstanding doctoral dissertation award. Zhong led the team that won the 11th Global Trajectory Optimization Competition (GTOC) and subsequently served as the organizer of GTOC12, including designing the competition challenge.


“Lessons Learned from Global Trajectory Optimization”

Abstract:

Trajectory optimization is not always limited to a single transfer. Missions involving multiple rendezvous, successive flybys, or other complex operational constraints often require joint optimization of both discrete mission decisions and continuous trajectories, leading to challenging combinatorial optimization problems. Rather than focusing solely on locally optimal trajectories, these problems require efficient strategies for searching the global design space. This talk presents presenter’s recent progress in global trajectory optimization, including integer optimization methods, optimality analysis of trajectory subproblems, and neural-network surrogate models, together with several lessons learned from these studies.

The seminar will begin at 12:15 pm and will take place in the Salón de Grados.
No previous registration will be required.

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