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GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
14 years 1 months ago
On the moments of the sampling distribution of particle swarm optimisers
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...
Riccardo Poli
IJSIR
2010
122views more  IJSIR 2010»
13 years 2 months ago
Biases in Particle Swarm Optimization
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
ANTSW
2008
Springer
13 years 9 months ago
A Dynamic Swarm for Visual Location Tracking
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...
Marcel Kronfeld, Christian Weiss, Andreas Zell
ICDE
2008
IEEE
135views Database» more  ICDE 2008»
14 years 9 months ago
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data
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 ...
Bhargav Kanagal, Amol Deshpande
CEC
2010
IEEE
13 years 8 months ago
Dynamic multi-swarm particle swarm optimizer with sub-regional harmony search
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 ...
Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, ...