231 search results - page 5 / 47 » Controlling Particle Swarm Optimization with Learned Paramet... |
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TFS
2008
14 years 9 months ago
2008
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
CEC
2010
IEEE
14 years 10 months ago
2010
IEEE
Several variants of the Particle Swarm Optimization (PSO) algorithm have been proposed in recent past to tackle the multi-objective optimization problems based on the concept of Pa...
CEC
2008
IEEE
15 years 4 months ago
2008
IEEE
—The particle swarm optimizer (PSO) is a popular computing technique of swarm intelligence, known for its fast convergence speed and easy implementation. All the particles in the...
GECCO
2007
Springer
15 years 1 months ago
2007
Springer
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
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EUROGP
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Particle Swarm Optimisers (PSOs) search using a set of interacting particles flying over the fitness landscape. These are typically controlled by forces that encourage ...