A Variant of Unified Bare Bone Particle Swarm Optimizer

Bare bone particle swarm optimization with integration of global and local learning strategies

“…Motivated by the unified particle swarm optimization scheme [22], a unified bare bone particle swarm optimization algorithm is also proposed by the author [23]. Instead of just using the neighborhood's best and personal best to calculate the mean and standard deviation adopted by BPSO, this paper considers the possibility of replacing the neighborhood's best with a new approach.…”

“…It is expected that proper steers these two abilities will result in enhanced performance, for example [22,23]. In original bare bone particle swarm optimization algorithm, the step size is generated from a Gaussian distribution function with mean and standard deviation calculated from global best and personal best particles.…”

Multi swarm bare bones particle swarm optimization with distribution adaption

“…One of the centers is using local best positions and is considered to have exploration characteristics, while the other is based on the global best position and is used for better exploitation around the best particle. At early iterations, exploration has a bigger weight which gradually decreases in the favor of exploitation [31,32].…”