Exploring Position Independent Initialisation in Grammatical Evolution

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

@InProceedings{Fagan:2016:CEC,

• author = "David Fagan and Michael Fenton and Michael O'Neill",
• title = "Exploring Position Independent Initialisation in Grammatical Evolution",
• booktitle = "Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016)",
• year = "2016",
• editor = "Yew-Soon Ong",
• pages = "5060--5067",
• address = "Vancouver",
• month = "24-29 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution",
• isbn13 = "978-1-5090-0623-6",
• DOI = "doi:10.1109/CEC.2016.7748331",
• abstract = "Initialisation in Grammatical Evolution (GE) is a topic that remains open to debate on many fronts. The literature falls between two mainstay approaches: random and sensible initialisation. These methods are not without their drawbacks with the type of trees generated. This paper tackles this problem by extending these traditional operators to incorporate position independence in the initialisation process in GE. This new approach to initialisation is shown to provide a viable alternative to the commonly used approaches, whilst avoiding the common pitfalls of traditional approaches to initialisation.",
• notes = "WCCI2016",

}

Genetic Programming entries for David Fagan Michael Fenton Michael O'Neill

Citations