Dynamic Path Planning for Unmanned Vehicles Based on Fuzzy Logic and Improved Ant Colony Optimization.
Qi SongQinglei ZhaoShuxin WangQiang LiuXiaohe ChenPublished in: IEEE Access (2020)
Keyphrases
- path planning
- ant colony optimization
- autonomous vehicles
- dynamic environments
- fuzzy logic
- unmanned aerial vehicles
- metaheuristic
- mobile robot
- ant colony
- genetic algorithm
- swarm intelligence
- path planning algorithm
- collision free
- obstacle avoidance
- traveling salesman problem
- aco algorithm
- ant colony optimization algorithm
- collision avoidance
- multi robot
- combinatorial optimization problems
- ant colonies
- optimal path
- ant colony algorithm
- potential field
- dynamic and uncertain environments
- motion planning
- expert systems
- path finding
- particle swarm optimization pso
- robot path planning
- artificial ants
- aco algorithms
- aerial vehicles
- search and rescue
- multiple robots
- particle swarm optimization
- neural network
- nature inspired
- decision making
- fuzzy sets
- computational intelligence
- multi objective
- degrees of freedom
- autonomous systems
- evolutionary algorithm
- back propagation
- tabu search
- artificial intelligence
- robot control
- evolutionary computation
- ground vehicles
- combinatorial optimization