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Multi-Auv Dynamic Maneuver Decision-Making Based On Intuitionistic Fuzzy Counter-Game And Fractional-Order Particle Swarm Optimization

Author

Listed:
  • LU LIU

    (Research & Development Institute of Northwestern Polytechnical University, Shenzhen 518057, P. R. China2School of Marine Science and Technology Northwestern, Polytechnical University, Xi’an 710072, P. R. China)

  • SHUO ZHANG

    (School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an 710072, P. R. China)

  • LICHUAN ZHANG

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, P. R. China)

  • GUANG PAN

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, P. R. China)

  • CHUNMEI BAI

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, P. R. China)

Abstract

In this paper, a multi-AUV dynamic maneuver decision-making algorithm is studied based on intuitionistic fuzzy game and fractional-order Particle Swarm Optimization (PSO). Because of the weak communication condition and complex marine environment, a maneuver decision-making algorithm is usually hard to realize in real-time multi-AUV couter-game process. First, the weak communication condition is analyzed according to sonar and other equipment characteristics. Then, the multi-AUV maneuver attributes evaluation and maneuver decision-making modeling are investigated under the obtained weak communication constraints. Subsequently, a fractional-order PSO optimization method is proposed to solve the strategy optimization problem of multi-AUV maneuver decision-making process. At last, an example is presented to verify the effectiveness and superiority of the obtained algorithm.

Suggested Citation

  • Lu Liu & Shuo Zhang & Lichuan Zhang & Guang Pan & Chunmei Bai, 2021. "Multi-Auv Dynamic Maneuver Decision-Making Based On Intuitionistic Fuzzy Counter-Game And Fractional-Order Particle Swarm Optimization," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 29(08), pages 1-13, December.
    • Handle: RePEc:wsi:fracta:v:29:y:2021:i:08:n:s0218348x21400399
    DOI: 10.1142/S0218348X21400399
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