Comparing the Performance of the Evolvable PiGrammatical Evolution Genotype-Phenotype Map to Grammatical Evolution in the Dynamic Ms. Pac-Man Environment

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{galvan-lopez_etal:cec2010,

• author = "Edgar Galvan-Lopez and David Fagan and Eoin Murphy and John Mark Swafford and Alexandros Agapitos and Michael O'Neill and Anthony Brabazon",
• title = "Comparing the Performance of the Evolvable {PiGrammatical} Evolution Genotype-Phenotype Map to Grammatical Evolution in the Dynamic {Ms. Pac-Man} Environment",
• booktitle = "2010 IEEE World Congress on Computational Intelligence",
• pages = "1587--1594",
• year = "2010",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• isbn13 = "978-1-4244-6910-9",
• DOI = "doi:10.1109/CEC.2010.5586508",
• abstract = "In this work, we examine the capabilities of two forms of mappings by means of Grammatical Evolution (GE) to successfully generate controllers by combining high-level functions in a dynamic environment. In this work we adopted the Ms. Pac-Man game as a benchmark test bed. We show that the standard GE mapping and Position Independent GE (piGE) mapping achieve similar performance in terms of maximising the score. We also show that the controllers produced by both approaches have an overall better performance in terms of maximising the score compared to a hand-coded agent. There are, however, significant differences in the controllers produced by these two approaches: standard GE produces more controllers with invalid code, whereas the opposite is seen with piGE.",
• notes = "WCCI 2010. Also known as \cite{5586508}",

}

Genetic Programming entries for Edgar Galvan Lopez David Fagan Eoin Murphy John Mark Swafford Alexandros Agapitos Michael O'Neill Anthony Brabazon

Citations