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» Sequential particle swarm optimization for visual tracking
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CEC
2009
IEEE
14 years 2 days 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
TEC
2010
171views more  TEC 2010»
13 years 1 days ago
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
Shengxiang Yang, Changhe Li
CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
13 years 11 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
CEC
2007
IEEE
13 years 11 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 9 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