Cooperative Mission Planning of Multiple Spacecrafts Using a Multiobjective Optimization Algorithm Based on Reinforcement Learning

Mission planning of spacecrafts is critical to their successful execution. This article will focus on cooperative mission planning of multiple spacecrafts problem (CMP-MSP). To tackle this challenge, an efficient multiobjective snake optimizer (MOSO) based on reinforcement learning (MOSORL) is devel...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems Jg. 61; H. 2; S. 2703 - 2718
Hauptverfasser:	Qi, Yuheng, Gu, Defeng, Liu, Yuan, Zhu, Jubo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive algorithms Aerospace and electronic systems Earth Heuristic algorithms Iterative methods Machine learning Maintenance engineering Mission planning multiobjective snake optimizer (MOSO) Multiple objective analysis multispacecraft planning Optimization Planning Reinforcement learning reinforcement learning (RL) Search problems Simulation Space vehicles Strategy
ISSN:	0018-9251, 1557-9603
Online-Zugang:	Volltext
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