231 search results - page 1 / 47 » Controlling Particle Swarm Optimization with Learned Paramet... |
SASO
2009
IEEE
13 years 11 months ago
2009
IEEE
—Controlling particle swarm optimization is typically an unintuitive task, involving a process of adjusting low-level parameters of the system that often do not have obvious corr...
ICONIP
2004
13 years 6 months ago
2004
Abstract. Particle Swarm Optimizer (PSO) is one of the evolutionary computation techniques based on swarm intelligence. Comprehensive Learning Particle Swarm Optimizer (CLPSO) is a...
ANTSW
2008
Springer
13 years 6 months ago
2008
Springer
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
ICMCS
2007
IEEE
13 years 11 months ago
2007
IEEE
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...