A parallel hybrid GA-PSO approach with dynamic rule-based parameter setting.
Abtin NourmohammadzadehSven HartmannHui MaPublished in: GECCO (Companion) (2017)
Keyphrases
- parameter settings
- genetic algorithm ga
- hybrid ga
- particle swarm optimization pso
- fitness function
- pso algorithm
- particle swarm optimization
- parameter values
- swarm intelligence
- particle swarm optimisation
- genetic programming
- parameter optimization
- optimal parameters
- neural network
- dynamic environments
- simulated annealing
- expert systems
- genetic algorithm
- hybrid particle swarm optimization
- particle swarm optimization algorithm
- particle swarm optimizer
- machine learning
- particle swarm
- parameter tuning
- artificial neural networks
- ant colony optimization
- optimization algorithm
- scheduling problem
- inertia weight
- multi objective
- pairwise
- multi swarm
- hybrid pso