A novel reinforcement learning based tuna swarm optimization algorithm for autonomous underwater vehicle path planning.
Zheping YanJinyu YanYifan WuSijia CaiHongxing WangPublished in: Math. Comput. Simul. (2023)
Keyphrases
- optimization algorithm
- path planning
- autonomous underwater vehicle
- reinforcement learning
- mobile robot
- multi objective
- path planning algorithm
- honey bee
- particle swarm optimization pso
- swarm intelligence
- optimization method
- collision avoidance
- differential evolution
- obstacle avoidance
- particle swarm optimization
- evolutionary multi objective
- multi robot
- motion planning
- dynamic and uncertain environments
- aerial vehicles
- global optima
- optimal path
- indoor environments
- state space
- dynamic environments
- particle swarm
- real robot
- hybrid optimization algorithm
- path finding
- optimization strategy
- potential field
- robot path planning
- multi agent
- collision free
- multiple robots
- neural network
- path planner
- degrees of freedom
- computational intelligence
- pso algorithm
- search and rescue
- autonomous vehicles
- robot control