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RL-GA: A reinforcement learning-based genetic algorithm for electromagnetic detection satellite scheduling problem
The study of electromagnetic detection satellite scheduling problem (EDSSP) has attracted
attention due to the detection requirements for a large number of targets. This paper …
attention due to the detection requirements for a large number of targets. This paper …
Deep reinforcement learning method for satellite range scheduling problem
The satellite range scheduling problem (SRSP) is a range of combinatory optimization,
which plays a vital role in the regular operation and mission accomplishment of in-orbit …
which plays a vital role in the regular operation and mission accomplishment of in-orbit …
An improved genetic algorithm for the integrated satellite imaging and data transmission scheduling problem
J Zhang, L **ng - Computers & Operations Research, 2022 - Elsevier
Abstract The study of Integrated Satellite Imaging and Data Transmission Scheduling
Problem (ISIDTSP) has assumed increasing importance due to the growing number of …
Problem (ISIDTSP) has assumed increasing importance due to the growing number of …
Collaborative data downloading by using inter-satellite links in LEO satellite networks
Satellite systems have attracted great attention from academic and industrial communities in
recent years. There are many satellites that have been launched for weather forecast …
recent years. There are many satellites that have been launched for weather forecast …
Space division and adaptive selection strategy based differential evolution algorithm for multi-objective satellite range scheduling problem
Satellite range scheduling always plays a crucial role in tracking, telemetry, and control of
the spacecraft. With the significant increase in the number and type of satellites in orbit, the …
the spacecraft. With the significant increase in the number and type of satellites in orbit, the …
Deep reinforcement learning and parameter transfer based approach for the multi-objective agile earth observation satellite scheduling problem
The agile earth observation satellite scheduling problem (AEOSSP) consists of selecting
and scheduling a number of tasks from a set of user requests in order to optimize one or …
and scheduling a number of tasks from a set of user requests in order to optimize one or …
A mixed integer linear programming model for multi-satellite scheduling
We address the multi-satellite scheduling problem with limited observation capacities that
arises from the need to observe a set of targets on the Earth's surface using imaging …
arises from the need to observe a set of targets on the Earth's surface using imaging …
A data-driven parallel scheduling approach for multiple agile earth observation satellites
To address the large-scale and time-consuming multiple agile earth observation satellite
(multi-AEOS) scheduling problems, this article proposes a data-driven parallel scheduling …
(multi-AEOS) scheduling problems, this article proposes a data-driven parallel scheduling …
Optimization-based scheduling method for agile earth-observing satellite constellation
This Paper proposes a two-step binary linear programming formulation for task scheduling
of a constellation of low-Earth-orbit satellites and demonstrates its applicability and …
of a constellation of low-Earth-orbit satellites and demonstrates its applicability and …
A population perturbation and elimination strategy based genetic algorithm for multi-satellite TT&C scheduling problem
Abstract The Multi-satellite Tracking Telemetry and Command (TT&C) Scheduling, a multi-
constrained and high-conflict complex combinatorial optimization problem, is a typical NP …
constrained and high-conflict complex combinatorial optimization problem, is a typical NP …