Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics.
Cody DennisBeatrice M. Ombuki-BermanAndries P. EngelbrechtPublished in: CEC (2021)
Keyphrases
- control parameters
- particle swarm optimization
- fitness landscape
- pid controller
- particle swarm optimizer
- differential evolution algorithm
- pso algorithm
- optimization algorithm
- multi objective
- evolutionary algorithm
- differential evolution
- learning rate
- evolutionary computation
- fitness values
- search space
- particle swarm optimization pso
- hybrid algorithm
- convergence speed
- genetic algorithm
- particle swarm
- global optimization
- real time
- particle swarm optimization algorithm
- wider range
- swarm intelligence
- evolutionary search
- population dynamics
- genetic programming
- simulated annealing
- artificial neural networks
- artificial intelligence
- machine learning