Global Optimal Path Planning for Multi-agent Flocking: A Multi-Objective Optimization Approach with NSGA-III.
Kesireddy KesireddyWanliang ShanHao XuPublished in: SSCI (2019)
Keyphrases
- path planning
- multi objective optimization
- multi objective
- pareto optimal
- multi agent
- optimal path
- evolutionary algorithm
- mobile robot
- path planning algorithm
- pareto optimal set
- collision avoidance
- multi robot
- dynamic environments
- obstacle avoidance
- multi objective optimization problems
- potential field
- motion planning
- multiple objectives
- genetic algorithm
- nsga ii
- dynamic and uncertain environments
- indoor environments
- bi objective
- worst case
- aerial vehicles
- multi agent systems
- multi objective genetic algorithm
- path finding
- collision free
- autonomous navigation
- multi objective evolutionary algorithms
- autonomous vehicles
- path planner
- robot path planning
- optimal solution
- degrees of freedom
- configuration space
- reinforcement learning
- unmanned aerial vehicles
- optimization problems
- differential evolution
- multiple robots
- search and rescue
- lower bound
- optimization algorithm
- navigation tasks
- cellular automata
- multiagent systems
- autonomous agents
- software agents
- complex optimization problems
- swarm intelligence