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GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
13 years 10 months ago
Improving particle swarm optimization with differentially perturbed velocity
This paper introduces a novel scheme of improving the performance of particle swarm optimization (PSO) by a vector differential operator borrowed from differential evolution (DE)....
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
GECCO
2005
Springer
190views Optimization» more  GECCO 2005»
13 years 10 months ago
An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters
This paper presents an efficient technique of designing twodimensional IIR digital filters using a new algorithm involving the tightly coupled synergism of particle swarm optimiza...
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
GECCO
2006
Springer
187views Optimization» more  GECCO 2006»
13 years 8 months ago
The gregarious particle swarm optimizer (G-PSO)
This paper presents a gregarious particle swarm optimization algorithm (G-PSO) in which the particles explore the search space by aggressively scouting the local minima with the h...
Srinivas Pasupuleti, Roberto Battiti
HIS
2009
13 years 2 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
ISDA
2008
IEEE
13 years 11 months ago
Inertia-Adaptive Particle Swarm Optimizer for Improved Global Search
This paper describes a method for improving the final accuracy and the convergence speed of Particle Swarm Optimization (PSO) by adapting its inertia factor in the velocity updati...
Kaushik Suresh, Sayan Ghosh, Debarati Kundu, Abhir...