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» Adapting Representation in Genetic Programming
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GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
13 years 8 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 1 months ago
CGP visits the Santa Fe trail: effects of heuristics on GP
GP uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees, and GP searches t...
Cezary Z. Janikow, Christopher J. Mann
BMCBI
2007
131views more  BMCBI 2007»
13 years 7 months ago
ISHAPE: new rapid and accurate software for haplotyping
Background: We have developed a new haplotyping program based on the combination of an iterative multiallelic EM algorithm (IEM), bootstrap resampling and a pseudo Gibbs sampler. ...
Olivier Delaneau, Cédric Coulonges, Pierre-...
RECOMB
2005
Springer
14 years 7 months ago
Improved Recombination Lower Bounds for Haplotype Data
Recombination is an important evolutionary mechanism responsible for the genetic diversity in humans and other organisms. Recently, there has been extensive research on understandi...
Vineet Bafna, Vikas Bansal
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
14 years 1 months ago
Using evolutionary algorithms for the unit testing of object-oriented software
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
Stefan Wappler, Frank Lammermann