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CEC
2010
IEEE
15 years 3 months ago
Cooperative Co-evolution with delta grouping for large scale non-separable function optimization
— Many evolutionary algorithms have been proposed for large scale optimization. Parameter interaction in nonseparable problems is a major source of performance loss specially on ...
Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao
JIB
2007
89views more  JIB 2007»
15 years 2 months ago
A Methodology for Comparative Functional Genomics
The continuing and rapid increase in the number of fully sequenced genomes is creating new opportunities for comparative studies. However, although many genomic databases store da...
Intikhab Alam, Mike Cornell, Darren M. Soanes, Cor...
123
Voted
BMCBI
2006
129views more  BMCBI 2006»
15 years 3 months ago
EGenBio: A Data Management System for Evolutionary Genomics and Biodiversity
Background: Evolutionary genomics requires management and filtering of large numbers of diverse genomic sequences for accurate analysis and inference on evolutionary processes of ...
Laila A. Nahum, Matthew T. Reynolds, Zhengyuan O. ...
ISCI
2008
159views more  ISCI 2008»
15 years 2 months ago
Large scale evolutionary optimization using cooperative coevolution
Evolutionary algorithms (EAs) have been applied with success to many numerical and combinatorial optimization problems in recent years. However, they often lose their effectivenes...
Zhenyu Yang, Ke Tang, Xin Yao
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
15 years 21 days ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi