Implementation of bio-inspired hybrid algorithm with mutation operator for robotic path planning.
Faiza GulImran MirDeemah AlarabiatHamzeh Mohammad AlaboolLaith AbualigahSuleman MirPublished in: J. Parallel Distributed Comput. (2022)
Keyphrases
- path planning
- hybrid algorithm
- bio inspired
- mutation operator
- differential evolution
- premature convergence
- mobile robot
- swarm intelligence
- particle swarm optimization pso
- genetic algorithm
- particle swarm optimization
- evolutionary algorithm
- initial population
- aerial vehicles
- path planning algorithm
- biogeography based optimization
- multiple robots
- ant colony optimization
- simulated annealing
- optimization algorithm
- collision avoidance
- dynamic environments
- multi robot
- genetic operators
- optimal solution
- function optimization
- convergence speed
- optimization method
- motion planning
- crossover operator
- tabu search
- evolutionary computation
- imperialist competitive algorithm
- dynamic and uncertain environments
- artificial neural networks
- robotic systems
- population diversity
- pso algorithm
- convergence rate
- optimal path
- multi objective optimization
- degrees of freedom
- collision free
- particle swarm optimisation
- ant colony algorithm
- genetic algorithm ga
- fitness function
- dynamic programming