A Heuristic Construction Neural Network Method for the Time-Dependent Agile Earth Observation Satellite Scheduling Problem
The agile earth observation satellite scheduling problem (AEOSSP), as a time-dependent and arduous combinatorial optimization problem, has been intensively studied in the past decades. Many studies have proposed non-iterative heuristic construction algorithms and iterative meta-heuristic algorithms...
Main Authors: | Jiawei Chen, Ming Chen, Jun Wen, Lei He, Xiaolu Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-09-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/19/3498 |
Similar Items
-
Deep Reinforcement Learning for the Agile Earth Observation Satellite Scheduling Problem
by: Jie Chun, et al.
Published: (2023-09-01) -
A Distributed Approach for Time-Dependent Observation Scheduling Problem in the Agile Earth Observation Satellite Constellation
by: Yanxiang Feng, et al.
Published: (2023-03-01) -
Reasoning-Based Scheduling Method for Agile Earth Observation Satellite with Multi-Subsystem Coupling
by: Changyuan He, et al.
Published: (2023-03-01) -
An Efficient Local Search Heuristic for Earth Observation Satellite Integrated Scheduling
by: Yuning Chen, et al.
Published: (2020-08-01) -
Analyzing Meta-Heuristic Algorithms for Task Scheduling in a Fog-Based IoT Application
by: Dadmehr Rahbari
Published: (2022-10-01)