102 search results - page 3 / 21 » Bayesian optimization models for particle swarms |
TSMC
2010
14 years 4 months ago
2010
In recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments. This paper presents a new PSO model, called PSO with c...
MICAI
2007
Springer
15 years 3 months ago
2007
Springer
A successful interpretation of data goes through discovering crucial relationships between variables. Such a task can be accomplished by a Bayesian network. The dark side is that, ...
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
—We present solutions to two problems that prevent the effective use of population-based algorithms in clustering problems. The first solution presents a new representation for ...
BMCBI
2006
14 years 9 months ago
2006
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...