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GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 3 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
80
Voted
BMCBI
2008
99views more  BMCBI 2008»
14 years 10 months ago
Multiple organism algorithm for finding ultraconserved elements
Background: Ultraconserved elements are nucleotide or protein sequences with 100% identity (no mismatches, insertions, or deletions) in the same organism or between two or more or...
Scott Christley, Neil F. Lobo, Gregory R. Madey
90
Voted
DATAMINE
2000
118views more  DATAMINE 2000»
14 years 10 months ago
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
14 years 11 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
15 years 3 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel