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GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 3 months ago
A memetic algorithm for the low autocorrelation binary sequence problem
Finding binary sequences with low autocorrelation is a very hard problem with many practical applications. In this paper we analyze several metaheuristic approaches to tackle the ...
José E. Gallardo, Carlos Cotta, Antonio J. ...
BMCBI
2006
119views more  BMCBI 2006»
14 years 9 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
BMCBI
2006
113views more  BMCBI 2006»
14 years 9 months ago
GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima
Background: Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sa...
Kazuhito Shida
WIOPT
2005
IEEE
15 years 3 months ago
Iterated Local Optimization for Minimum Energy Broadcast
In our prior work, we presented a highly effective local search based heuristic algorithm called the Largest Expanding Sweep Search (LESS) to solve the minimum energy broadcast (M...
Intae Kang, Radha Poovendran
ICPP
1993
IEEE
15 years 1 months ago
Activity Counter: New Optimization for the Dynamic Scheduling of SIMD Control Flow
SIMD or vector computers and collection-oriented languages, like C , are designed to perform the same computation on each data item or on just a subset of the data. Subsets of pro...
Ronan Keryell, Nicolas Paris