348 search results - page 4 / 70 » An adaptive learning particle swarm optimizer for function o... |
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
ISNN
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
BMCBI
2006
13 years 6 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...
ATAL
2006
Springer
13 years 10 months ago
2006
Springer
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...