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» The Spatially-Dispersed Genetic Algorithm
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GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
15 years 7 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
ICDAR
2009
IEEE
16 years 1 months ago
Temporal Order Recovery of the Scanned Handwriting
In this paper, we present a new approach to the temporal order restoration of the off-line handwriting. After the preprocessing steps of the word image, a suitable algorithm makes...
Abdelkarim Elbaati, Monji Kherallah, Abdellatif En...
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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 7 months ago
Hierarchical evolution of linear regressors
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
Francesc Teixidó-Navarro, Albert Orriols-Pu...
ICSE
2009
IEEE-ACM
16 years 7 months ago
Automatically finding patches using genetic programming
Automatic repair of programs has been a longstanding goal in software engineering, yet debugging remains a largely manual process. We introduce a fully automated method for locati...
Westley Weimer, ThanhVu Nguyen, Claire Le Goues, S...
GECCO
2009
Springer
166views Optimization» more  GECCO 2009»
16 years 1 months ago
Genetic programming in the wild: evolving unrestricted bytecode
We describe a methodology for evolving Java bytecode, enabling the evolution of extant, unrestricted Java programs, or programs in other languages that compile to Java bytecode. B...
Michael Orlov, Moshe Sipper