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GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 9 months ago
Genetic algorithms using low-discrepancy sequences
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...
Shuhei Kimura, Koki Matsumura
ICDE
2006
IEEE
178views Database» more  ICDE 2006»
16 years 5 months ago
Declarative Querying for Biological Sequences
The ongoing revolution in life sciences research is producing vast amounts of genetic and proteomic sequence data. Scientists want to pose increasingly complex queries on this dat...
Sandeep Tata, Jignesh M. Patel, James S. Friedman,...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 7 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba
TCBB
2008
120views more  TCBB 2008»
15 years 3 months ago
Learning Scoring Schemes for Sequence Alignment from Partial Examples
When aligning biological sequences, the choice of scoring scheme is critical. Even small changes in gap penalties, for example, can yield radically different alignments. A rigorous...
Eagu Kim, John D. Kececioglu
GLOBECOM
2007
IEEE
15 years 10 months ago
Reduced Complexity Sequence Detection of Continuous Phase Modulation Represented as the Linear Superposition of Amplitude Modula
The Laurent Decomposition expresses any binary single-h CPM waveform as the summation of a finite number of pulse amplitude modulated components, and this result has been useful i...
Marilynn P. Wylie-Green, Erik Perrins