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» On the practical genetic algorithms
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CGO
2011
IEEE
14 years 10 months ago
Practical memory checking with Dr. Memory
—Memory corruption, reading uninitialized memory, using freed memory, and other memory-related errors are among the most difficult programming bugs to identify and fix due to t...
Derek Bruening, Qin Zhao
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
16 years 11 days ago
Genetic programming: parametric analysis of structure altering mutation techniques
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
Alan Piszcz, Terence Soule
FUZZIEEE
2007
IEEE
15 years 10 months ago
Genetic Fuzzy Systems applied to Online Job Scheduling
Abstract-- This paper presents a comparison of three different design concepts for Genetic Fuzzy systems. We apply a Symbiotic Evolution that uses the Michigan approach and two app...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 10 months ago
On evolving buffer overflow attacks using genetic programming
In this work, we employed genetic programming to evolve a "white hat" attacker; that is to say, we evolve variants of an attack with the objective of providing better de...
Hilmi Günes Kayacik, Malcolm I. Heywood, A. N...
IJAR
2010
153views more  IJAR 2010»
15 years 5 months ago
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
For diagnosing dyslexia in early childhood, children have to solve non-writing based, graphical tests. Curently, these tests are processed by a human expert; applying artificial ...
Ana M. Palacios, Luciano Sánchez, Iné...