Paper
21 December 2023 Application of genetic algorithm in satellite communication task scheduling
Ying He, Jianping Zheng
Author Affiliations +
Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129700T (2023) https://doi.org/10.1117/12.3012108
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China
Abstract
With the development of satellite communication technology, the demand for satellite resources for various communication tasks is increasingly complex. In order to further improve the utilization efficiency of satellite resources and better deal with the resource competition between different types of services, this paper proposes a satellite communication task scheduling algorithm based on genetic algorithm. By matching the satellite task scheduling problem with the utility optimization problem, and designing the chromosome coding method and genetic operator matching with this problem, the convergence performance of genetic algorithm is effectively improved. Simulation results show that the algorithm is a fast convergence and efficient satellite communication task scheduling algorithm.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Ying He and Jianping Zheng "Application of genetic algorithm in satellite communication task scheduling", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129700T (21 December 2023); https://doi.org/10.1117/12.3012108
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KEYWORDS
Satellite communications

Genetic algorithms

Satellites

Mathematical optimization

Telecommunications

Computer simulations

Evolutionary optimization

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