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» Genetic Programming Reconsidered
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GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 1 months ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae
GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
14 years 1 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
2004
Springer
116views Optimization» more  GECCO 2004»
14 years 1 months ago
Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function
Abstract. We demonstrate a fully automated method for obtaining a closedform approximation of a recursive function. This method resulted from a realworld problem in which we had a ...
Evan Kirshenbaum, Henri Jacques Suermondt
IDEAL
2004
Springer
14 years 1 months ago
User Adaptive Answers Generation for Conversational Agent Using Genetic Programming
Recently, it seems to be interested in the conversational agent as an effective and familiar information provider. Most of conversational agents reply to user’s queries based on ...
Kyoung Min Kim, Sungsoo Lim, Sung-Bae Cho
EUROGP
2003
Springer
119views Optimization» more  EUROGP 2003»
14 years 26 days ago
Maximum Homologous Crossover for Linear Genetic Programming
We introduce a new recombination operator, the Maximum Homologous Crossover for Linear Genetic Programming. In contrast to standard crossover, it attempts to preserve similar struc...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...