An efficient oscillating inertia weight of particle swarm optimisation for tracking optima in dynamic environments.
Javidan Kazemi KordestaniAlireza RezvanianMohammad Reza MeybodiPublished in: J. Exp. Theor. Artif. Intell. (2016)
Keyphrases
- dynamic environments
- particle swarm optimisation
- inertia weight
- pso algorithm
- particle swarm optimization
- particle swarm optimization algorithm
- particle swarm optimization pso
- optimization algorithm
- convergence speed
- global search
- standard pso
- fitness values
- evolution strategy
- global optimization
- evolutionary algorithm
- adaptive particle swarm optimization
- particle swarm
- differential evolution
- premature convergence
- swarm intelligence
- test functions
- particle swarm optimizer
- mutation operator
- mobile robot
- convergence rate
- particle filter
- evolutionary programming
- optimisation problems
- genetic algorithm
- inertia weight particle swarm optimization
- optimization method
- fitness function
- multi objective
- faster convergence
- genetic algorithm ga
- optimization problems
- adaptive control
- hybrid algorithm
- search algorithm
- search capabilities
- step size
- population diversity
- simulated annealing