A Multi-Objective Quantum-Inspired Seagull Optimization Algorithm Based on Decomposition for Unmanned Aerial Vehicle Path Planning.
Peng WangZhiliang DengPublished in: IEEE Access (2022)
Keyphrases
- optimization algorithm
- path planning
- multi objective
- unmanned aerial vehicles
- quantum inspired
- mutation operator
- evolutionary algorithm
- differential evolution
- genetic algorithm
- mobile robot
- nsga ii
- quantum computing
- multi objective optimization
- optimization method
- multiobjective optimization
- autonomous systems
- dynamic environments
- objective function
- particle swarm optimization pso
- particle swarm optimization
- path planning algorithm
- multi robot
- obstacle avoidance
- degrees of freedom
- autonomous vehicles
- optimal path
- motion planning
- aerial vehicles
- crossover operator
- particle swarm
- multi objective evolutionary algorithms
- simulated annealing
- artificial intelligence
- feasible solution
- swarm intelligence
- particle swarm optimisation
- genetic programming
- multi agent systems