Satellite establishes a satellite ground station to satellite link with a ground station to complete data transmission. However, in China, satellite ground stations only exist within the country. With the rapid increase in the number of satellites, effectively dispatching satellite communications and maximizing the performance of ground stations are necessary. We propose a heuristic adaptive large neighborhood search algorithm (H-ALNS) to solve the satellite data transmission scheduling (SDTS) problem. The algorithm includes two heuristic rules for generating the initial scheme and the conflict reduction process after updating the neighborhood. A heuristic task assignment method is used to select the execution time window and position for the task sequence. The adaptive operator is used to update the delete operator and insert operator weights into the H-ALNS. The quality of the generated planning scheme improved through continuous neighborhood destruction and repair. Through experimental analysis, the algorithm we propose is feasible for solving SDTS problems and surpasses the planning results acquired using other comparison algorithms. The H-ALNS has good prospects for practical engineering applications.
An Adaptive Large Neighborhood Search Algorithm for the Satellite Data Transmission Scheduling Problem
2020
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
An adaptive large neighborhood search heuristic for the Electric Vehicle Scheduling Problem
BASE | 2016
|Optimization-Based Adaptive Large Neighborhood Search for the Production Routing Problem
British Library Online Contents | 2014
|Optimization-Based Adaptive Large Neighborhood Search for the Production Routing Problem
Online Contents | 2014
|