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GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
15 years 5 days ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 5 months ago
Eye-tracking evolutionary algorithm to minimize user fatigue in IEC applied to interactive one-max problem
In this paper, we describe a new algorithm that consists in combining an eye-tracker for minimizing the fatigue of a user during the evaluation process of Interactive Evolutionary...
Denis Pallez, Philippe Collard, Thierry Baccino, L...
GECCO
2005
Springer
121views Optimization» more  GECCO 2005»
15 years 4 months ago
An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection
This paper introduces hyper-ellipsoids as an improvement to hyper-spheres as intrusion detectors in a negative selection problem within an artificial immune system. Since hyper-s...
Joseph M. Shapiro, Gary B. Lamont, Gilbert L. Pete...
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
15 years 5 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classi...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 3 months ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classi...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...