Multi-Objective Path Planning of an Autonomous Mobile Robot in Static and Dynamic Environments using a Hybrid PSO-MFB Optimisation Algorithm.
Ibraheem Kasim IbraheemFatin Hassan AjeilPublished in: CoRR (2018)
Keyphrases
- dynamic environments
- path planning
- autonomous mobile robot
- optimisation algorithm
- multi objective
- hybrid pso
- trajectory planning
- mobile robot
- motion planning
- particle swarm optimization
- optimisation problems
- particle swarm
- pso algorithm
- ant colony
- particle swarm optimization pso
- optimization algorithm
- obstacle avoidance
- premature convergence
- evolutionary algorithm
- genetic algorithm
- particle swarm optimisation
- robot navigation
- collision avoidance
- autonomous agents
- multi objective optimization
- autonomous robots
- multi robot
- evolutionary computation
- objective function
- potential field
- nsga ii
- global optimization
- particle swarm optimization algorithm
- ant colony optimization
- optimal path
- real time
- swarm intelligence
- degrees of freedom
- path finding
- autonomous systems
- metaheuristic
- vision system
- differential evolution
- path planner
- ant colony algorithm
- convergence speed
- faster convergence
- hybrid algorithm
- particle swarm optimizer
- unmanned aerial vehicles
- robotic systems
- benchmark problems
- simulated annealing