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Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II

Research Article

Application of Population Based Incremental Learning Algorithm in Satellite Mission Planning

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  • @INPROCEEDINGS{10.1007/978-3-030-69072-4_19,
        author={Yuqing Li and Xiaoen Feng and Gang Wang and Pengpeng Liu and Chao Zhang},
        title={Application of Population Based Incremental Learning Algorithm in Satellite Mission Planning},
        proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II},
        proceedings_a={WISATS PART 2},
        year={2021},
        month={2},
        keywords={Satellite mission planning PBIL algorithm Earth observation Remote sensing satellite},
        doi={10.1007/978-3-030-69072-4_19}
    }
    
  • Yuqing Li
    Xiaoen Feng
    Gang Wang
    Pengpeng Liu
    Chao Zhang
    Year: 2021
    Application of Population Based Incremental Learning Algorithm in Satellite Mission Planning
    WISATS PART 2
    Springer
    DOI: 10.1007/978-3-030-69072-4_19
Yuqing Li1, Xiaoen Feng1,*, Gang Wang2, Pengpeng Liu3, Chao Zhang2
  • 1: Harbin Institute of Technology
  • 2: CETC Key Laboratory of Aerospace Information Applications
  • 3: Naval Research Academy
*Contact email: fengxiaoen0923@163.com

Abstract

Considering the increasing demand for earth observation missions, aiming at the centralized cooperative mission planning problem of remote sensing satellites, analyzing the constraints in the operation of satellites while considering the load and platform operation, and establishing a reasonable mathematical calculation of satellite missions model. The population incremental learning (PBIL) algorithm is used to solve the satellite mission planning problem. The binary coding method of the traditional PBIL algorithm is improved to the real coding method, and the value matrix correction method is improved. The computational efficiency of PBIL algorithm based on real number coding is verified by numerical examples. The performances of genetic algorithm and PBIL algorithm in solving satellite mission planning problems are compared and analyzed.

Keywords
Satellite mission planning PBIL algorithm Earth observation Remote sensing satellite
Published
2021-02-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-69072-4_19
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