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GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
13 years 11 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
BMCBI
2007
233views more  BMCBI 2007»
13 years 5 months ago
160-fold acceleration of the Smith-Waterman algorithm using a field programmable gate array (FPGA)
Background: To infer homology and subsequently gene function, the Smith-Waterman (SW) algorithm is used to find the optimal local alignment between two sequences. When searching s...
Isaac T. S. Li, Warren Shum, Kevin Truong
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
13 years 8 months ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
BMCBI
2006
92views more  BMCBI 2006»
13 years 5 months ago
Recrafting the neighbor-joining method
Background: The neighbor-joining method by Saitou and Nei is a widely used method for constructing phylogenetic trees. The formulation of the method gives rise to a canonical (n3)...
Thomas Mailund, Gerth Stølting Brodal, Rolf...
ISPASS
2008
IEEE
13 years 11 months ago
Dynamic Thermal Management through Task Scheduling
The evolution of microprocessors has been hindered by their increasing power consumption and the heat generation speed on-die. High temperature impairs the processor’s reliabili...
Jun Yang 0002, Xiuyi Zhou, Marek Chrobak, Youtao Z...