Meta-heuristic approach for solving multi-objective path planning for autonomous guided robot using PSO-GWO optimization algorithm with evolutionary programming.
Faiza GulWan RahimanS. S. N. A. Syed HassanAhmad AliImran MirAbdul JalilPublished in: J. Ambient Intell. Humaniz. Comput. (2021)
Keyphrases
- multi objective
- path planning
- optimization algorithm
- evolutionary programming
- particle swarm optimization
- metaheuristic
- combinatorial optimization
- mobile robot
- particle swarm optimization pso
- pso algorithm
- autonomous navigation
- differential evolution
- autonomous vehicles
- evolutionary algorithm
- obstacle avoidance
- ant colony optimization
- path planning algorithm
- multi robot
- optimization method
- tabu search
- search and rescue
- harmony search
- global optimization
- unmanned aerial vehicles
- multi objective optimization
- particle swarm optimization algorithm
- genetic algorithm
- optimization problems
- combinatorial optimization problems
- swarm intelligence
- dynamic environments
- evolution strategy
- particle swarm
- robotic systems
- multiobjective optimization
- objective function
- hybrid algorithm
- vehicle routing problem
- search methods
- nsga ii
- mutation operator
- particle swarm optimisation
- multiple robots
- collision free
- solution space
- evolutionary computation
- global search
- convergence speed
- simulated annealing
- evolutionary strategy
- feasible solution
- dynamic programming
- artificial bee colony
- multi objective evolutionary algorithms
- premature convergence
- pid controller
- traveling salesman problem
- bp neural network
- ant colony
- control parameters
- search space
- branch and bound
- optimal solution
- branch and bound algorithm
- neural network