81 search results - page 9 / 17 » On convergence of multi-objective Particle Swarm Optimizers |
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...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage ...
AMC
2007
13 years 7 months ago
2007
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
HIS
2009
13 years 5 months ago
2009
: Particle Swarm Optimization (PSO) is arguably one of the most popular nature- inspired algorithms for real parameter optimization at present. The existing theoretical research on...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...