Theoretical Results in Genetic Programming: The next ten years?

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{poli:2010:GPEM,

• author = "Riccardo Poli and Leonardo Vanneschi and William B. Langdon and Nicholas Freitag McPhee",
• title = "Theoretical Results in Genetic Programming: The next ten years?",
• journal = "Genetic Programming and Evolvable Machines",
• year = "2010",
• volume = "11",
• number = "3/4",
• pages = "285--320",
• month = sep,
• note = "Tenth Anniversary Issue: Progress in Genetic Programming and Evolvable Machines",
• keywords = "genetic algorithms, genetic programming, Theory, Challenges, Open problems",
• ISSN = "1389-2576",
• URL = "https://scholar.google.com/citations?view_op=view_citation&citation_for_view=uR5K07QAAAAJ:aqlVkmm33-oC",
• DOI = "doi:10.1007/s10710-010-9110-5",
• size = "36 pages",
• abstract = "We consider the theoretical results in GP so far and prospective areas for the future. We begin by reviewing the state of the art in genetic programming (GP) theory including: schema theories, Markov chain models, the distribution of functionality in program search spaces, the problem of bloat, the applicability of the no-free-lunch theory to GP, and how we can estimate the difficulty of problems before actually running the system. We then look at how each of these areas might develop in the next decade, considering also new possible avenues for theory, the challenges ahead and the open issues.",
• notes = "School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, UK",

}

Genetic Programming entries for Riccardo Poli Leonardo Vanneschi William B Langdon Nicholas Freitag McPhee

Citations