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CIBCB
2005
IEEE
16 years 12 days ago
Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets
Efficient and reliable methods that can find a small sample of informative genes amongst thousands are of great importance. In this area, much research is investigating the combina...
Thorhildur Juliusdottir, David Corne, Ed Keedwell,...
ICPADS
2005
IEEE
16 years 11 days ago
PRec-I-DCM3: A Parallel Framework for Fast and Accurate Large Scale Phylogeny Reconstruction
: Accurate reconstruction of phylogenetic trees very often involves solving hard optimization problems, particularly the maximum parsimony (MP) and maximum likelihood (ML) problems...
Cristian Coarfa, Yuri Dotsenko, John M. Mellor-Cru...
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
16 years 9 days ago
Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Chien-Feng Huang, Luis Mateus Rocha
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
16 years 9 days ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
ICCS
2005
Springer
16 years 9 days ago
Phylogenetic Networks, Trees, and Clusters
Phylogenetic networks model evolutionary histories in the presence of non-treelike events such as hybrid speciation and horizontal gene transfer. In spite of their widely acknowled...
Luay Nakhleh, Li-San Wang