Crowding distance and IGD-driven grey wolf reinforcement learning approach for multi-objective agile earth observation satellite scheduling

Crowding distance and IGD-driven grey wolf reinforcement learning approach for multi-objective agile earth observation satellite scheduling

With the rise of low-cost launches, miniaturized space technology, and commercialization, the cost of space missions has dropped, leading to a surge in flexible Earth observation satellites. This increased demand for complex and diverse imaging products requires addressing multi-objective optimizati...

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Bibliographic Details
Main Authors: He Wang, Weiquan Huang, Sindri Magnússon, Tony Lindgren, Chen Chen, Junyu Wu, Yanjie Song
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:International Journal of Digital Earth
Subjects:
Earth observation satellite
reinforcement learning
Q-learning
scheduling
multi-objective optimization
grey wolf algorithm
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2025.2458024
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https://www.tandfonline.com/doi/10.1080/17538947.2025.2458024

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