Exploring Grammatical Modification with Modules in Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.7662

@InProceedings{swafford:2011:EuroGP,

• author = "John Mark Swafford and Michael O'Neill and Miguel Nicolau and Anthony Brabazon",
• title = "Exploring Grammatical Modification with Modules in Grammatical Evolution",
• booktitle = "Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011",
• year = "2011",
• month = "27-29 " # apr,
• editor = "Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado",
• series = "LNCS",
• volume = "6621",
• publisher = "Springer Verlag",
• address = "Turin, Italy",
• pages = "310--321",
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming, grammatical evolution: poster",
• isbn13 = "978-3-642-20406-7",
• DOI = "doi:10.1007/978-3-642-20407-4_27",
• abstract = "There have been many approaches to modularity in the field of evolutionary computation, each tailored to function with a particular representation. This research examines one approach to modularity and grammar modification with a grammar-based approach to genetic programming, grammatical evolution (GE). Here, GE's grammar was modified over the course of an evolutionary run with modules in order to facilitate their appearance in the population. This is the first step in what will be a series of analysis on methods of modifying GE's grammar to enhance evolutionary performance. The results show that identifying modules and using them to modify GE's grammar can have a negative effect on search performance when done improperly. But, if undertaken thoughtfully, there are possible benefits to dynamically enhancing the grammar with modules identified during evolution.",
• notes = "Part of \cite{Silva:2011:GP} EuroGP'2011 held in conjunction with EvoCOP2011 EvoBIO2011 and EvoApplications2011",

}

Genetic Programming entries for John Mark Swafford Michael O'Neill Miguel Nicolau Anthony Brabazon

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