102 search results - page 1 / 21 » Bayesian optimization models for particle swarms |
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
We explore the use of information models as a guide for the development of single objective optimization algorithms, giving particular attention to the use of Bayesian models in a...
CEC
2009
IEEE
13 years 11 months ago
2009
IEEE
— Particle swarm optimization (PSO) is a swarm intelligence technique originally inspired by models of flocking and of social influence that assumed homogeneous individuals. Du...
LION
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
WCNC
2008
IEEE
13 years 11 months ago
2008
IEEE
: Sensor management deals with the efficient resource allocation to meet mission objectives of the application, air traffic control. A schedule for the sensors is constructed, whic...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
We propose a Particle Filter model that incorporates Particle Swarm Optimization for predicting systems with multiplicative noise. The proposed model employs a conventional multio...