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» Introduction to genetic algorithms
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ICIP
1998
IEEE
16 years 8 months ago
An Efficient Motion Estimation Algorithm based on Tracing Techniques on Large Search Windows
Motion estimation represents the most computationally intensive task for all efficient motion compensated compression standards. This fact, despite the several eflorts aiming at r...
Marco Mattavelli, Giorgio Zoia
BIOCOMP
2006
15 years 8 months ago
Finding Molecular Signature of Prostate Cancer: An Algorithmic Approach
123 African American men in America are 65% more likely to develop prostate cancer and are two to three times more likely to die of the disease than Caucasian men [1]. While resear...
Patrick Bobbie, Renee Reams, Sandra Suther, C. Per...
215
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BMCBI
2011
15 years 1 months ago
Comparing genotyping algorithms for Illumina's Infinium whole-genome SNP BeadChips
Background: Illumina’s Infinium SNP BeadChips are extensively used in both small and large-scale genetic studies. A fundamental step in any analysis is the processing of raw all...
Matthew E. Ritchie, Ruijie Liu, Benilton Carvalho,...
GECCO
2005
Springer
182views Optimization» more  GECCO 2005»
16 years 3 days ago
Improving EAX with restricted 2-opt
Edge Assembly Crossover (EAX) is by far the most successful crossover operator in solving the traveling salesman problem (TSP) with Genetic Algorithms (GAs). Various improvements ...
Chen-hsiung Chan, Sheng-An Lee, Cheng-Yan Kao, Hua...
GECCO
2004
Springer
15 years 12 months ago
Metaheuristics for Natural Language Tagging
Abstract. This work compares different metaheuristics techniques applied to an important problem in natural language: tagging. Tagging amounts to assigning to each word in a text ...
Lourdes Araujo, Gabriel Luque, Enrique Alba