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» Heterogeneous particle swarm optimizers
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HIS
2009
13 years 5 months ago
Probability Diffused Particle Swarm Optimization
Premature convergence is a major problem of Particle Swarm Optimization (PSO).Although many strategies have been proposed, there is still some work needed to do in high-dimensional...
Qiuyan Qin, Zhihua Cui, Jianchao Zeng
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
13 years 8 months ago
Social interaction in particle swarm optimization, the ranked FIPS, and adaptive multi-swarms
The interaction among particles is a vital aspect of Particle Swarm Optimization. As such, it has a strong influence on the swarm’s success. In this study various approaches re...
Johannes Jordan, Sabine Helwig, Rolf Wanka
NC
2002
210views Neural Networks» more  NC 2002»
13 years 7 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis
HIS
2009
13 years 5 months ago
A Particle Swarm Optimization with Feasibility-Based Rules for Mixed-Variable Optimization Problems
A Particle Swarm Optimization algorithm with feasibility-based rules (FRPSO) is proposed in this paper to solve mixed-variable optimization problems. An approach to handle various ...
Chao-Li Sun, Jian-Chao Zeng, Jeng-Shyang Pan
SASO
2009
IEEE
14 years 2 months ago
Controlling Particle Swarm Optimization with Learned Parameters
—Controlling particle swarm optimization is typically an unintuitive task, involving a process of adjusting low-level parameters of the system that often do not have obvious corr...
Kevin Winner, Don Miner, Marie desJardins