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GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
13 years 6 months ago
Parsimony pressure made easy
The parsimony pressure method is perhaps the simplest and most frequently used method to control bloat in genetic programming. In this paper we first reconsider the size evolutio...
Riccardo Poli, Nicholas Freitag McPhee
IEAAIE
2004
Springer
13 years 10 months ago
Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach
This paper investigates the suitability of linear genetic programming (LGP) technique to model efficient intrusion detection systems, while comparing its performance with artificia...
Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
13 years 9 months ago
Convergence to global optima for genetic programming systems with dynamically scaled operators
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Lothar M. Schmitt, Stefan Droste
CEC
2010
IEEE
13 years 6 months ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...
CEC
2007
IEEE
13 years 11 months ago
Evolvability and Redundancy in Shared Grammar Evolution
— Shared grammar evolution (SGE) is a novel scheme for representing and evolving a population of variablelength programs as a shared set of grammatical productions. Productions t...
Martin H. Luerssen, David M. W. Powers