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» Particle Swarm Model Selection for Authorship Verification
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CEC
2007
IEEE
13 years 11 months ago
A closed loop stability analysis and parameter selection of the Particle Swarm Optimization dynamics for faster convergence
This paper presents an alternative formulation of the PSO dynamics by a closed loop control system, and analyzes the stability behavior of the system by using Jury's test and ...
Nayan R. Samal, Amit Konar, Swagatam Das, Ajith Ab...
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
14 years 1 months ago
Two-level of nondominated solutions approach to multiobjective particle swarm optimization
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
M. A. Abido
CEC
2007
IEEE
13 years 11 months ago
Development and validation of different hybridization strategies between GA and PSO
In this paper a new class of hybridization strategies between GA and PSO is presented and validated. The Genetical Swarm Optimization (GSO) approach is presented here with respect ...
A. Gandelli, F. Grimaccia, Marco Mussetta, Paola P...
WCE
2007
13 years 8 months ago
Modified Memory Convergence with Fuzzy PSO
—Associative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentati...
Subhash Chandra Pandey, P. K. Mishra
TEC
2010
191views more  TEC 2010»
13 years 1 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris