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 from Genetic Programming, and in particular an evolvable grammar representation from Grammatical Evolution by Grammatical Evolution. We demonstrate its application to a number of benchmark problems where significant performance gains are achieved when compared to static grammars.

• Type: Conference
• Year: 2005
• Where: EUROGP
• Authors: Michael O'Neill, Anthony Brabazon
• Keywords: EUROGP 2005, Grammatical Evolution, Grammatical Genetic Algorithm, Meta-grammar Genetic Algorithm