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MICAI
2007
Springer
15 years 3 months ago
Handling Constraints in Particle Swarm Optimization Using a Small Population Size
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses...
Juan Carlos Fuentes Cabrera, Carlos A. Coello Coel...
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 3 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
AHS
2006
IEEE
119views Hardware» more  AHS 2006»
15 years 3 months ago
Particle Swarm Optimization with Discrete Recombination: An Online Optimizer for Evolvable Hardware
Self-reconfigurable adaptive systems have the possibility of adapting their own hardware configuration. This feature provides enhanced performance and flexibility, reflected i...
Jorge Peña, Andres Upegui, Eduardo Sanchez
CEC
2010
IEEE
14 years 10 months ago
Adaptive learning particle swarm optimizer-II for global optimization
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...
Changhe Li, Shengxiang Yang
CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
15 years 3 months ago
Adaptive Object Tracking using Particle Swarm Optimization
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
Yuhua Zheng, Yan Meng