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GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
13 years 10 months 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
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
13 years 10 months ago
The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization
Abstract. Particle Swarm Optimization is gaining momentum as a simple and effective optimization technique. We present a new approach to PSO that significantly reduces the number...
Christopher K. Monson, Kevin D. Seppi
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
13 years 10 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
CORR
2010
Springer
110views Education» more  CORR 2010»
13 years 4 months ago
Improving Term Extraction Using Particle Swarm Optimization Techniques
: Problem statement: Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatica...
Mohammad Syafrullah, Naomie Salim
IPPS
2009
IEEE
13 years 11 months ago
Adaptative clustering Particle Swarm Optimization
—The performance of Particle Swarm Optimization (PSO) algorithms depends strongly upon the interaction among the particles. The existing communication topologies for PSO (e.g. st...
Salomão S. Madeiro, Carmelo J. A. Bastos Fi...