Sciweavers

GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
13 years 10 months ago
802.11 network intrusion detection using genetic programming
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
Patrick LaRoche, A. Nur Zincir-Heywood
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
13 years 10 months ago
Dormant program nodes and the efficiency of genetic programming
In genetic programming, there is a tendency for individuals in a population to accumulate fragments of code – often called introns – which are redundant in the fitness evaluat...
David Jackson
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
13 years 10 months ago
Parsing and translation of expressions by genetic programming
We have investigated the potential for using genetic programming to evolve compiler parsing and translation routines for processing arithmetic and logical expressions as they are ...
David Jackson
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
13 years 10 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
CEC
2005
IEEE
13 years 10 months ago
Single parent genetic programming
The most controversial part of genetic programming is its highly disruptive and potentially innovative subtree crossover operator. The clearest problem with the crossover operator...
Wendy Ashlock, Dan Ashlock
ACRI
2006
Springer
13 years 10 months ago
Attaining Human-Competitive Game Playing with Genetic Programming
Abstract— We have recently shown that genetically programming game players, after having imbued the evolutionary process with human intelligence, produces human-competitive strat...
Moshe Sipper
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
13 years 11 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
ICANNGA
2007
Springer
138views Algorithms» more  ICANNGA 2007»
13 years 11 months ago
Liquid State Genetic Programming
Abstract. A new Genetic Programming variant called Liquid State Genetic Programming (LSGP) is proposed in this paper. LSGP is a hybrid method combining a dynamic memory for storing...
Mihai Oltean
ICANNGA
2007
Springer
110views Algorithms» more  ICANNGA 2007»
13 years 11 months ago
Genetic Programming for Proactive Aggregation Protocols
Abstract. We present an approach for automated generation of proactive aggregation protocols using Genetic Programming. First a short introduction into aggregation and proactive pr...
Thomas Weise, Kurt Geihs, Philipp A. Baer
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
13 years 11 months ago
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...
Julio J. Valdés, Robert Orchard, Alan J. Ba...