Neural combinatorial optimization for multi-rendezvous mission design

•Applied Neural Combinatorial Optimization to plan low-thrust multi-target rendezvous sequences for Active Debris Removal missions.•Created statistical model of the Iridium 33 debris cloud to generate realistic scenarios for training and evaluating NCO policies.•Demonstrated effectiveness for missio...

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Bibliographic Details

Published in:	Advances in space research Vol. 75; no. 10; pp. 7306 - 7326
Main Authors:	López Rivera, Antonio, Naeije, Marc
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.05.2025
Subjects:	Active debris removal Debris mitigation Graph attention networks Reinforcement learning Trajectory optimization Debris mitigation Active debris removal Graph attention networks Trajectory optimization Reinforcement learning
ISSN:	0273-1177
Online Access:	Get full text
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