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» Combining genetic algorithms with squeaky-wheel optimization
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GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
14 years 1 months ago
Combining competent crossover and mutation operators: a probabilistic model building approach
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
Cláudio F. Lima, Kumara Sastry, David E. Go...
IEAAIE
1994
Springer
13 years 11 months ago
Using the Genetic Algorithm to Find Snake-in-the-Box Codes
Genetic Algorithms are heuristic search schemes based on a model of Darwinian evolution. Although not guaranteed to find the optimal solution, genetic algorithms have been shown t...
Walter D. Potter, Robert W. Robinson, John A. Mill...
GECCO
2007
Springer
206views Optimization» more  GECCO 2007»
13 years 11 months ago
Using code metric histograms and genetic algorithms to perform author identification for software forensics
We have developed a technique to characterize software developers' styles using a set of source code metrics. This style fingerprint can be used to identify the likely author...
Robert Charles Lange, Spiros Mancoridis
TEC
2008
93views more  TEC 2008»
13 years 7 months ago
The Self-Organization of Interaction Networks for Nature-Inspired Optimization
Over the last decade, significant progress has been made in understanding complex biological systems, however there have been few attempts at incorporating this knowledge into natu...
James M. Whitacre, Ruhul A. Sarker, Q. Tuan Pham
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolving kernels for support vector machine classification
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Keith Sullivan, Sean Luke