Global Path Planning for Autonomous Underwater Vehicles in Current Field with Obstacles
Kiyoung Lee, Su-Bum Kim, Chan-Hee Song · Journal of Ocean Engineering and Technology · 2012
This paper deals with the global path planning problem for AUVs (autonomous underwater vehicles) in a tidal current field. The previous researches in the field were unsuccessful at simultaneously addressing the two issues of obstacle avoidance and tidal current-based optimization. The use of a genetic algorithm is proposed in this paper to move past this limitation and solve both issues at once. Simulation results showed that the genetic algorithm could be applied to generate an optimal path in the field of a tidal current with multiple obstacles.