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» Removing the Genetics from the Standard Genetic Algorithm
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CEC
2008
IEEE
14 years 3 months ago
Evolution of image filters on graphics processor units using Cartesian Genetic Programming
— Graphics processor units are fast, inexpensive parallel computing devices. Recently there has been great interest in harnessing this power for various types of scientific comp...
Simon Harding
ICSE
2009
IEEE-ACM
14 years 9 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...
CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 8 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
EUROGP
1998
Springer
14 years 25 days ago
Speech Sound Discrimination with Genetic Programming
The question that we investigate in this paper is, whether it is possible for Genetic Programming to extract certain regularities from raw time series data of human speech. We exam...
Markus Conrads, Peter Nordin, Wolfgang Banzhaf
CORR
2010
Springer
53views Education» more  CORR 2010»
13 years 8 months ago
Phase-Only Planar Antenna Array Synthesis with Fuzzy Genetic Algorithms
This paper describes a new method for the synthesis of planar antenna arrays using fuzzy genetic algorithms (FGAs) by optimizing phase excitation coefficients to best meet a desir...
Boufeldja Kadri, Miloud Boussahla, Fethi Tarik Ben...