Dynamic inertia weight artificial bee colony versus GA and PSO for optimal tuning of PID controller.
Nasr A. ElkhateebR. I. BadrPublished in: Int. J. Model. Identif. Control. (2014)
Keyphrases
- pso algorithm
- pid controller
- particle swarm optimization pso
- inertia weight
- artificial bee colony
- genetic algorithm ga
- particle swarm optimization
- pid parameters
- differential evolution
- swarm intelligence
- optimization algorithm
- multi objective
- particle swarm optimization algorithm
- control parameters
- particle swarm optimisation
- proportional integral derivative
- genetic algorithm
- hybrid algorithm
- fitness function
- convergence speed
- global optimization
- simulated annealing
- particle swarm
- premature convergence
- pid control
- artificial neural networks
- ant colony optimization
- control method
- evolutionary algorithm
- global search
- genetic operators
- evolution strategy
- optimal solution
- particle swarm optimizer
- mutation operator
- crossover operator
- control system
- inertia weight particle swarm optimization
- job shop scheduling problem
- fuzzy control
- search capabilities
- nsga ii
- multi objective optimization
- bp neural network
- traveling salesman problem
- optimization method
- metaheuristic