Generalized model and deep reinforcement learning-based evolutionary method for multitype satellite observation scheduling

Y Song, J Ou, W Pedrycz, PN Suganthan… - … on Systems, Man …, 2024 - ieeexplore.ieee.org
Multitype satellite observation, including optical observation satellites, synthetic aperture
radar (SAR) satellites, and electromagnetic satellites, has become an important direction in …

Learning adaptive genetic algorithm for earth electromagnetic satellite scheduling

Y Song, J Ou, PN Suganthan, W Pedrycz… - … on Aerospace and …, 2023 - ieeexplore.ieee.org
Earth electromagnetic exploration satellites are widely used in many fields due to their wide
detection range and high detection sensitivity. The complex environment and the …

[HTML][HTML] A Review of Multi-Satellite Imaging Mission Planning Based on Surrogate Model Expensive Multi-Objective Evolutionary Algorithms: The Latest …

X Yang, M Hu, G Huang, P Lin, Y Wang - Aerospace, 2024 - mdpi.com
Multi-satellite imaging mission planning (MSIMP) is an important focus in the field of satellite
application. MSIMP involves a variety of coupled constraints and optimization objectives …

Energy-Efficient Satellite Range Scheduling Using A Reinforcement Learning-based Memetic Algorithm

Y Song, PN Suganthan, W Pedrycz… - … on Aerospace and …, 2024 - ieeexplore.ieee.org
The rapid expansion of the satellite industry has presented numerous opportunities across
various sectors and significantly transformed people's daily lives. However, the high energy …

A generalized bilevel optimization model for large-scale task scheduling in multiple agile earth observation satellites

J Chen, F Wang, Y Chen, L He, Y Du, J Wu… - Knowledge-Based …, 2025 - Elsevier
Scheduling large-scale tasks within a multi-agile earth observation satellite system poses a
formidable challenge. Given the complexity of this optimization problem, the responding …

Knowledge-assisted adaptive large neighbourhood search algorithm for the satellite–ground link scheduling problem

Z Liu, J Liu, X Liu, W Yang, J Wu, Y Chen - Computers & Industrial …, 2024 - Elsevier
Communications between satellites and the ground supported by satellite–ground links
(SGLs) are indispensable to the daily management of large-scale low-orbit communication …

A Strategy Fusion-Based Multi-Objective Optimization Approach for Agile Earth Observation Satellite Scheduling Problem

H Wang, W Huang, S Magnússon… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Agile satellite imaging scheduling plays a vital role in improving emergency response, urban
planning, national defense, and resource management. With the rise in the number of in …

Two-stage deep reinforcement learning method for agile optical satellite scheduling problem

Z Liu, W Xiong, Z Jia, C Han - Complex & Intelligent Systems, 2025 - Springer
This paper investigates the agile optical satellite scheduling problem, which aims to arrange
an observation sequence and observation actions for observation tasks. Existing research …

[HTML][HTML] Multi-Layer Objective Model and Progressive Optimization Mechanism for Multi-Satellite Imaging Mission Planning in Large-Scale Target Scenarios

X Yang, M Hu, G Huang, F Huang - Applied Sciences, 2024 - mdpi.com
With the continuous increase in the number of in-orbit satellites and the explosive growth in
the demand for observation targets, satellite resource allocation and mission scheduling are …

A Neural-Guided Adaptive Large Neighborhood Search Algorithm for the Communication Satellite Range Scheduling Problem

Z Liu, J Liu, J Yan, J Chun, X Lin… - 2024 10th International …, 2024 - ieeexplore.ieee.org
The communication satellite range scheduling problem (CSRSP) is indispensable for the
regular operation of the low Earth orbit (LEO) internet constellation. By utilizing a multilayer …