Randomized parameter settings for a pool-based particle swarm optimization algorithm: a comparison between dynamic adaptation of parameters and randomized parameterization.
Amaury Hernandez-AguilaMario García ValdezJuan Julián Merelo GuervósOscar CastilloPublished in: GECCO (Companion) (2017)
Keyphrases
- parameter settings
- particle swarm optimization algorithm
- inertia weight
- dynamic adaptation
- particle swarm optimization
- parameter values
- parameter tuning
- convergence speed
- pso algorithm
- particle swarm optimization pso
- genetic algorithm ga
- particle swarm
- population size
- optimal parameters
- parameter optimization
- differential evolution
- convergence rate
- global search
- image segmentation
- higher order
- simulated annealing