The scheduling problem of an earth observation satellite is a large and difficult combinatorial optimization problem. Thankfully, such a scheduling problem is well-studied with numerous …

Mar 1, 2023 · The proposed DRL-based algorithm solves the assignment problem, and the heuristic algorithm deals with the single antenna scheduling problem. It is concluded from the …

The energy-efficient satellite range scheduling problem (EESRSP) aims to optimize task sequencing profits within the satellite management system while simultaneously conserving …

Jun 18, 2021 · In this paper, inspired by the success of deep reinforcement learning in optimization domains, the deep deterministic policy gradient algorithm is adopted to solve a …

In this paper, we present and analyse some relevant formulations of the satellite scheduling viewed as a family of problems and identify various forms of optimization objectives. The main …

Jan 18, 2025 · Finally, the end-to-end route is determined using the Dijkstra algorithm. We consider several key factors including the connection distance, rotational velocity, link setup …

problem. The satellite scheduling problem is a real-world com-binational optimization problem that models satellite resources and tasks and then maximizes their benefits via optimization …

Oct 18, 2023 · At present, the research of SRSP mainly focuses on the algorithm improvement under different scheduling scenarios and the simulation optimization of real cases. This paper …

5 days ago · Additionally, Li et al. (2022) proposed a multi-satellite telemetry and command resource scheduling strategy based on deep neural networks, and Liu et al. (2021) improved …

To reduce the route change as much as possible during the periodical topology change, in this work, we refined the original Dijkstra and propose StableRoute to select the most appropriate …