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» Primer design using genetic algorithm
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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 11 months ago
The role of diverse populations in phylogenetic analysis
The most popular approaches for reconstructing phylogenetic trees attempt to solve NP-hard optimization criteria such as maximum parsimony (MP). Currently, the bestperforming heur...
Tiffani L. Williams, Marc L. Smith
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months 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
BMCBI
2011
12 years 11 months ago
MINE: Module Identification in NEtworks
Background: Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of function...
Kahn Rhrissorrakrai, Kristin C. Gunsalus
DIALM
2005
ACM
130views Algorithms» more  DIALM 2005»
13 years 9 months ago
On lower bounds for MAC layer contention in CSMA/CA-based wireless networks
Wireless LANs operating within unlicensed frequency bands require random access schemes such as CSMA/CA, so that wireless networks from different administrative domains (for exam...
Frank A. Zdarsky, Ivan Martinovic, Jens B. Schmitt
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
14 years 2 months ago
A stopping criterion based on Kalman estimation techniques with several progress indicators
The need for a stopping criterion in MOEA’s is a repeatedly mentioned matter in the domain of MOOP’s, even though it is usually left aside as secondary, while stopping criteri...
José Luis Guerrero, Jesús Garc&iacut...