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GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
14 years 1 months ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa
ISNN
2005
Springer
14 years 1 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
14 years 1 months ago
A new collaborative evolutionary-swarm optimization technique
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...
Rodica Ioana Lung, D. Dumitrescu
CEC
2010
IEEE
13 years 2 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
14 years 1 months ago
EcoPS: a particle swarm algorithm to model group-foraging
Recent work has introduced a simulation model of ecological processes in terms of a very simple Particle Swarm algorithm. This abstract model produced qualitatively realistic beha...
Cecilia Di Chio, Riccardo Poli, Paolo Di Chio