102 search results - page 3 / 21 » Bayesian optimization models for particle swarms |
TSMC
2010
13 years 2 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
14 years 1 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
14 years 20 days 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
13 years 7 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
14 years 2 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...