Two-stage knowledge-assisted coevolutionary NSGA-II for bi-objective path planning of multiple unmanned aerial vehicles.
Tianwei ZhouZhenghan ZhouHaiyun QiuBen NiuGabriel Xiao-Guang YueWitold PedryczPublished in: Swarm Evol. Comput. (2024)
Keyphrases
- path planning
- bi objective
- unmanned aerial vehicles
- nsga ii
- multi objective
- aerial vehicles
- multi objective optimization
- efficient solutions
- evolutionary algorithm
- search and rescue
- mobile robot
- test problems
- collision avoidance
- multiobjective optimization
- optimization algorithm
- optimization problems
- obstacle avoidance
- multi robot
- dynamic environments
- multi objective evolutionary algorithms
- pareto optimal solutions
- genetic algorithm
- multiple objectives
- motion planning
- pareto optimal
- network design
- differential evolution
- ant colony optimization
- trajectory planning
- autonomous systems
- autonomous vehicles
- particle swarm optimization
- multi objective problems
- optimal solution
- knapsack problem
- shortest path problem
- degrees of freedom
- special case
- search algorithm
- pareto frontier
- control system