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A new water wave optimization algorithm for satellite stability

Author

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  • Jin, Yang
  • Li, Shuai
  • Ren, Lu

Abstract

Scientific and efficient design is the foundation requirement for stable operation of satellites. While a satellite is composed of a number of subsystems with independent functions. These subsystems interact with each other and related design variables are also coupled with each other. Thus, the overall design process needs to comprehensively weigh the relationship among multiple design objectives and design constraints of different subsystems, in order to obtain the optimal balance of the overall framework. Here we propose a novel Powell-Water Wave Optimization (POWWO) algorithm and apply it to the overall optimization design of earth observation satellites. Compared with previous works, this algorithm shows more excellent optimization properties, via combining the global and local search ability. Its effectiveness can also be supported by the well-known benchmarks and satellite optimization design experiments.

Suggested Citation

  • Jin, Yang & Li, Shuai & Ren, Lu, 2020. "A new water wave optimization algorithm for satellite stability," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    • Handle: RePEc:eee:chsofr:v:138:y:2020:i:c:s0960077920301958
    DOI: 10.1016/j.chaos.2020.109793
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    Cited by:

    1. Yan, Zheping & Zhang, Jinzhong & Tang, Jialing, 2021. "Path planning for autonomous underwater vehicle based on an enhanced water wave optimization algorithm," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 181(C), pages 192-241.

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