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» Improving EAs for Sequencing Problems
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 2 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on ļ¬nding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ļ¬...
Oliver Kramer, Bartek Gloger, Andreas Goebels
BMCBI
2010
198views more  BMCBI 2010»
13 years 8 months ago
ClustalXeed: a GUI-based grid computation version for high performance and terabyte size multiple sequence alignment
Background: There is an increasing demand to assemble and align large-scale biological sequence data sets. The commonly used multiple sequence alignment programs are still limited...
Taeho Kim, Hyun Joo
AGENTS
2001
Springer
14 years 12 days ago
Improving the agent-oriented modeling process by roles
The agent-oriented modeling process is divided in a typical sequence of activities, i.e., requirements speciļ¬cation, analysis, and design. The requirements are speciļ¬ed by des...
Ralph Depke, Reiko Heckel, Jochen Malte Küste...
AINA
2006
IEEE
14 years 2 months ago
Partitioned optimization algorithms for multiple sequence alignment
Multiple sequence alignment is an important and difficult problem in molecular biology and bioinformatics. In this paper, we propose a partitioning approach that significantly impr...
Yixin Chen, Yi Pan, Juan Chen, Wei Liu, Ling Chen
ICIP
2010
IEEE
13 years 5 months ago
Semi-supervised regression with temporal image sequences
We consider a semi-supervised regression setting where we have temporal sequences of partially labeled data, under the assumption that the labels should vary slowly along a sequen...
Ling Xie, Miguel Á. Carreira-Perpiñ&...