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GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
16 years 7 days ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
ALMOB
2006
138views more  ALMOB 2006»
15 years 6 months ago
A combinatorial optimization approach for diverse motif finding applications
Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
Elena Zaslavsky, Mona Singh
COMPLIFE
2005
Springer
16 years 7 days ago
Fast and Accurate Structural RNA Alignment by Progressive Lagrangian Optimization
During the last few years new functionalities of RNA have been discovered, renewing the need for computational tools for their analysis. To this respect, multiple sequence alignmen...
Markus Bauer, Gunnar W. Klau, Knut Reinert
CEC
2007
IEEE
16 years 1 months ago
Target shape design optimization by evolving splines
Abstract— Target shape design optimization problem (TSDOP) is a miniature model for real world design optimization problems. It is proposed as a test bed to design and analyze op...
Pan Zhang, Xin Yao, Lei Jia, Bernhard Sendhoff, Th...
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
16 years 8 months ago
OptRR: Optimizing Randomized Response Schemes for Privacy-Preserving Data Mining
The randomized response (RR) technique is a promising technique to disguise private categorical data in Privacy-Preserving Data Mining (PPDM). Although a number of RR-based methods...
Zhengli Huang, Wenliang Du