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CEC
2010
IEEE
13 years 5 months ago
Active Learning Genetic programming for record deduplication
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...
CSREASAM
2010
13 years 4 months ago
Modeling NIDS Evasion with Genetic Programming
Nowadays, Network Intrusion Detection Systems are quickly updated in order to prevent systems against new attacks. This situation has provoked that attackers focus their efforts on...
Sergio Pastrana, Agustín Orfila, Arturo Rib...
CEC
2009
IEEE
14 years 2 months ago
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr...
ICNC
2005
Springer
14 years 1 months ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...
ICES
2003
Springer
79views Hardware» more  ICES 2003»
14 years 26 days ago
Using Genetic Programming to Generate Protocol Adaptors for Interprocess Communication
Abstract. As mobile devices become more powerful, interprocess communication becomes increasingly more important. Unfortunately, this larger freedom of mobility gives rise to unkno...
Werner Van Belle, Tom Mens, Theo D'Hondt