Upper Bounds for Particle Location Variance Convergence Measures in the Stochastic Model of Particle Swarm.
Krzysztof WójcikTomasz KulpaKrzysztof TrojanowskiPublished in: CEC (2021)
Keyphrases
- stochastic model
- particle swarm
- upper bound
- global convergence
- particle swarm optimization algorithm
- particle swarm optimization
- lower bound
- optimization method
- particle swarm algorithm
- multi objective
- optimisation problems
- convergence speed
- swarm intelligence
- stochastic models
- differential evolution
- inertia weight
- evolutionary algorithm
- optimization methods
- premature convergence
- optimization strategy
- genetic algorithm
- lower and upper bounds
- upper and lower bounds
- pso algorithm
- fitness function
- convergence analysis
- hybrid optimization algorithm
- market demand
- binary particle swarm optimization
- convergence rate
- optimization algorithm
- fluid model
- predator prey
- binary gravitational search algorithm
- simulated annealing
- particle swarm optimization pso
- distribution network
- global optimization
- efficiently computable
- hybrid algorithm
- sample average approximation
- machine learning