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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 10 months ago
Finding needles in haystacks is harder with neutrality
This research presents an analysis of the reported successes of the Cartesian Genetic Programming method on a simplified form of the Boolean parity problem. We show the method of...
M. Collins
GECCO
2005
Springer
137views Optimization» more  GECCO 2005»
15 years 10 months ago
Constant generation for the financial domain using grammatical evolution
This study reports the work to date on the analysis of different methodologies for constant creation with the aim of applying the most advantageous method to the dynamic real wor...
Ian Dempsey
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 10 months ago
Bayesian optimization models for particle swarms
We explore the use of information models as a guide for the development of single objective optimization algorithms, giving particular attention to the use of Bayesian models in a...
Christopher K. Monson, Kevin D. Seppi
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
15 years 10 months ago
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes
Cooperative co-evolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance for such tasks can vary widely from good to disa...
Elena Popovici, Kenneth A. De Jong
ICARIS
2005
Springer
15 years 10 months ago
A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques
The (randomized) real-valued negative selection algorithm is an anomaly detection approach, inspired by the negative selection immune system principle. The algorithm was proposed t...
Thomas Stibor, Jonathan Timmis, Claudia Eckert