Implementing an Intuitive Mutation Operator for Interactive Evolutionary 3D Design

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{byrne_etal:cec2010,

• author = "Jonathan Byrne and James McDermott and Edgar Galvan-Lopez and Michael O'Neill",
• title = "Implementing an Intuitive Mutation Operator for Interactive Evolutionary {3D} Design",
• booktitle = "2010 IEEE World Congress on Computational Intelligence",
• pages = "2919--2925",
• 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.2010.5586485",
• abstract = "Locality - how well neighbouring genotypes correspond to neighbouring phenotypes - has been described as a key element in Evolutionary Computation. Grammatical Evolution (GE) is a generative system as it uses grammar rules to derive a program from an integer encoded genome. The genome, upon which the evolutionary process is carried out, goes through several transformations before it produces an output. The aim of this paper is to investigate the impact of locality during the generative process using both qualitative and quantitative techniques. To explore this, we examine the effects of standard GE mutation using distance metrics and conduct a survey of the output designs. There are two different kinds of event that occur during standard GE Mutation. We investigate how each event type affects the locality on different phenotypic stages when applied to the problem of interactive design generation.",
• notes = "CEC 2010. WCCI 2010. Also known as \cite{5586485}",

}

Genetic Programming entries for Jonathan Byrne James McDermott Edgar Galvan Lopez Michael O'Neill

Citations