A Multi-AUVs Bio-Inspired Cooperative Hunting Algorithm for Environment with Ocean Current and Obstacles

This paper addresses the challenges of multi-AUV cooperative hunting in complex underwater environments with ocean currents and obstacles. A novel bio-inspired neural network (BINN) algorithm is developed to model the AUV's operating environment. In this approach, each grid point corresponds to a neural node, allowing the AUV to autonomously plan its next move based on neural activity. A direction decision mechanism is incorporated to account for ocean currents, and the proposed algorithm is compared to methods without this feature. Simulation results confirm the effectiveness of the algorithm in enhancing cooperative hunting performance.