# Mathematical Models and Reinforcement Learning based Evolutionary Algorithm Framework for Satellite Scheduling Problem

arXiv: https://arxiv.org/abs/2301.02764 · HTML: https://mlsanity.com/paper/2301.02764/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 6 references that are in the map.
- First posted on arXiv 7 Jan 2023.

## Builds on (most cited first, 2 of 2)

- [RL-GA: A Reinforcement Learning-Based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem](https://mlsanity.com/paper/2206.05694/) (2022)
- [A Mixed Integer Linear Programming Model for Multi-Satellite Scheduling](https://mlsanity.com/paper/1811.12114/) (2018)

## Abstract (arXiv)

For complex combinatorial optimization problems, models and algorithms are at the heart of the solution. The complexity of many types of satellite mission planning problems is NP-hard and places high demands on the solution. In this paper, two types of satellite scheduling problem models are introduced and a reinforcement learning based evolutionary algorithm framework based is proposed.