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167
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EOR
2010
129views more  EOR 2010»
15 years 7 months ago
Cyber Swarm Algorithms - Improving particle swarm optimization using adaptive memory strategies
Peng-Yeng Yin, Fred Glover, Manuel Laguna, Jia-Xia...
206
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ESCIENCE
2006
IEEE
16 years 1 months ago
Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization
This paper presents quantitative comparison of the performance of different methods for selecting the guide particle for multi-objective particle swarm optimization (MOPSO). Two p...
David Ireland, Andrew Lewis, Sanaz Mostaghim, Junw...
CVPR
2008
IEEE
16 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 ...
CEC
2007
IEEE
16 years 1 months ago
Clonal particle swarm optimization and its applications
— Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in search for food, which is a simple but powerful...
Y. Tan, Z. M. Xiao
GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
16 years 19 days ago
A New Approach to Improve Particle Swarm Optimization
Abstract. Particle swarm optimization (PSO) is a new evolutionary computation technique. Although PSO algorithm possesses many attractive properties, the methods of selecting inert...
Liping Zhang, Huanjun Yu, Shangxu Hu