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.

中文翻译：

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基于直觉模糊反博弈和分数阶粒子群优化的多AUV动态机动决策

本文研究了一种基于直觉模糊博弈和分数阶粒子群优化(PSO)的多AUV动态机动决策算法。由于通信条件弱、海洋环境复杂，机动决策算法通常难以在实时多AUV计算机博弈过程中实现。首先，根据声纳等设备特性分析弱通信情况。然后，在获得的弱通信约束下研究了多AUV机动属性评估和机动决策建模。随后，提出了一种分数阶PSO优化方法来解决多AUV机动决策过程的策略优化问题。最后，