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» Adaptative clustering Particle Swarm Optimization
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GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 11 months ago
Particle swarm with speciation and adaptation in a dynamic environment
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...
Xiaodong Li, Jürgen Branke, Tim Blackwell
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
14 years 1 months ago
EcoPS: a particle swarm algorithm to model group-foraging
Recent work has introduced a simulation model of ecological processes in terms of a very simple Particle Swarm algorithm. This abstract model produced qualitatively realistic beha...
Cecilia Di Chio, Riccardo Poli, Paolo Di Chio
CEC
2009
IEEE
14 years 2 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
AHS
2006
IEEE
119views Hardware» more  AHS 2006»
14 years 1 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
CVPR
2008
IEEE
14 years 9 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...