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» Regular expression generation through grammatical evolution
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GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
13 years 10 months ago
Grammatical Constant Creation
This study examines the utility of grammatical ephemeral random constants, and conducts an analysis of the preferences of evolutionary search when a number of different grammar ba...
Ian Dempsey, Michael O'Neill, Anthony Brabazon
EUROGP
2009
Springer
101views Optimization» more  EUROGP 2009»
13 years 9 months ago
Exploring Grammatical Evolution for Horse Gait Optimisation
Physics-based animal animations require data for realistic motion. This data is expensive to acquire through motion capture and inaccurate when estimated by an artist. Grammatical ...
James E. Murphy, Michael O'Neill, Hamish Carr
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
13 years 8 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
APIN
2000
103views more  APIN 2000»
13 years 4 months ago
Probabilistic Pattern Matching and the Evolution of Stochastic Regular Expressions
The use of genetic programming for probabilistic pattern matching is investigated. A stochastic regular expression language is used. The language features a statistically sound sem...
Brian J. Ross
ANCS
2007
ACM
13 years 8 months ago
Compiling PCRE to FPGA for accelerating SNORT IDS
Deep Payload Inspection systems like SNORT and BRO utilize regular expression for their rules due to their high expressibility and compactness. The SNORT IDS system uses the PCRE ...
Abhishek Mitra, Walid A. Najjar, Laxmi N. Bhuyan