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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Vydané v:	IEEE transactions on aerospace and electronic systems Ročník 61; číslo 2; s. 2703 - 2718
Hlavní autori:	Qi, Yuheng, Gu, Defeng, Liu, Yuan, Zhu, Jubo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.04.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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