A Survey of Self Modifying Cartesian Genetic Programming

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

@InCollection{Harding:2010:GPTP,

• author = "Simon Harding and Wolfgang Banzhaf and Julian F. Miller",
• title = "A Survey of Self Modifying Cartesian Genetic Programming",
• booktitle = "Genetic Programming Theory and Practice VIII",
• year = "2010",
• editor = "Rick Riolo and Trent McConaghy and Ekaterina Vladislavleva",
• series = "Genetic and Evolutionary Computation",
• volume = "8",
• address = "Ann Arbor, USA",
• month = "20-22 " # may,
• publisher = "Springer",
• chapter = "6",
• pages = "91--107",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, developmental systems",
• isbn13 = "978-1-4419-7746-5",
• URL = "http://www.springer.com/computer/ai/book/978-1-4419-7746-5",
• DOI = "doi:10.1007/978-1-4419-7747-2_6",
• abstract = "Self-Modifying Cartesian Genetic Programming (SMCGP) is a general purpose, graph-based, developmental form of Cartesian Genetic Programming. In addition to the usual computational functions found in CGP, SMCGP includes functions that can modify the evolved program at run time. This means that programs can be iterated to produce an infinite sequence of phenotypes from a single evolved genotype. Here, we discuss the results of using SMCGP on a variety of different problems, and see that SMCGP is able to solve tasks that require scalability and plasticity. We demonstrate how SMCGP is able to produce results that would be impossible for conventional, static Genetic Programming techniques.",
• notes = "part of \cite{Riolo:2010:GPTP}",

}

Genetic Programming entries for Simon Harding Wolfgang Banzhaf Julian F Miller

Citations