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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
13 years 10 months ago
Meta-grammar constant creation with grammatical evolution by grammatical evolution
This study examines the utility of meta-grammar constant generation on a series of benchmark problems. The performance of the meta-grammar approach is compared to a grammar which ...
Ian Dempsey, Michael O'Neill, Anthony Brabazon
EUROGP
2005
Springer
104views Optimization» more  EUROGP 2005»
13 years 10 months ago
mGGA: The meta-Grammar Genetic Algorithm
A novel Grammatical Genetic Algorithm, the meta-Grammar Genetic Algorithm (mGGA) is presented. The mGGA borrows a grammatical representation and the ideas of modularity and reuse f...
Michael O'Neill, Anthony Brabazon
CEC
2009
IEEE
13 years 2 months ago
Analysis of constant creation techniques on the binomial-3 problem with grammatical evolution
This paper studies the difference between Persistent Random Constants (PRC) and Digit Concatenation as methods for generating constants. It has been shown that certain problems hav...
Jonathan Byrne, Michael O'Neill, Erik Hemberg, Ant...
CEC
2008
IEEE
13 years 11 months ago
Grammatical bias and building blocks in meta-grammar Grammatical Evolution
—This paper describes and tests the utility of a meta Grammar approach to Grammatical Evolution (GE). Rather than employing a fixed grammar as is the case with canonical GE, und...
Erik Hemberg, Michael O'Neill, Anthony Brabazon
GECCO
2005
Springer
137views Optimization» more  GECCO 2005»
13 years 10 months ago
Constant generation for the financial domain using grammatical evolution
This study reports the work to date on the analysis of different methodologies for constant creation with the aim of applying the most advantageous method to the dynamic real wor...
Ian Dempsey