Improved evolvability in genetic programming with polyandry

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@Article{journals/saj/RagaloP13,

• title = "Improved evolvability in genetic programming with polyandry",
• author = "Anisa W. Ragalo and Nelishia Pillay",
• journal = "South African Computer Journal",
• year = "2013",
• volume = "51",
• pages = "22--43",
• month = dec,
• keywords = "genetic algorithms, genetic programming, evolvability",
• ISSN = "2313-7835",
• URL = "https://sacj.cs.uct.ac.za/index.php/sacj/article/view/170/84",
• DOI = "doi:10.18489/sacj.v51i0.170",
• bibdate = "2014-09-14",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/saj/saj51.html#RagaloP13",
• URL = "http://reference.sabinet.co.za/document/EJC147970",
• URL = "http://sacj.cs.uct.ac.za/index.php/sacj/issue/view/13",
• URL = "http://sacj.cs.uct.ac.za/index.php/sacj/article/view/170",
• URL = "http://sacj.cs.uct.ac.za/index.php/sacj/article/viewFile/170/84.pdf",
• size = "22 pages",
• abstract = "This paper proposes Polyandry, a new nature-inspired modification to canonical Genetic Programming (GP). Polyandry aims to improve evolvability in GP. Evolvability is a critically important GP trait, the maintenance of which determines the arrival of the GP at the global optimum solution. Specifically evolvability is defined as the ability of the genetic operators employed in GP to produce offspring that are fitter than their parents. When GP fails to exhibit evolvability, further adaptation of the GP individuals towards the global optimum solution becomes impossible....",
• notes = "University of KwaZulu-Natal",

}

Genetic Programming entries for Anisa Waganda Ragalo Nelishia Pillay

Citations