A method is presented that allows one to exactly determine all the characteristics of a PSO’s sampling distribution and explain how it changes over time, in the presence stochas...
It is known that the most common versions of particle swarm optimization (PSO) algorithms are rotationally variant. It has also been pointed out that PSO algorithms can concentrat...
William M. Spears, Derek T. Green, Diana F. Spears
Abstract. The visual localization problem in robotics poses a dynamically changing environment due to the movement of the robot compared to a static image set serving as environmen...
In this paper, we address the problem of extending a relational database system to facilitate efficient real-time application of dynamic probabilistic models to streaming data. he ...
In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) and a sub-regional harmony search (SHS) are hybridized to obtain DMS-PSO-SHS. A Modified multi-trajectory ...