The Fly algorithm revisited: adaptation to CMOS image sensors

Created by W.Langdon from gp-bibliography.bib Revision:1.7810

@InProceedings{Sapin:2009:ICEC,

• author = "Emmanuel Sapin and Jean Louchet and Evelyne Lutton",
• title = "The Fly algorithm revisited: adaptation to {CMOS} image sensors",
• booktitle = "International Conference on Evolutionary Computation, ICEC",
• year = "2009",
• pages = "224--229",
• address = "Madeira, Portugal",
• month = oct,
• organisation = "INSTICC",
• keywords = "genetic algorithms, genetic programming, Evolutionary Algorithm, Cooperative Coevolution, Computer Vision, Fly Algorithm, Image Sensor",
• isbn13 = "978-989-674-014-6",
• ISSN = "2184-3236",
• URL = "http://jean.louchet.free.fr/publis/SapinLouchetLutton05-07-2009.pdf",
• URL = "https://ijcci.scitevents.org/Abstract.aspx?idEvent=mROxMg5XP5Q=",
• URL = "https://www.scitepress.org/Papers/2009/23192/23192.pdf",
• DOI = "doi:10.5220/0002319202240229",
• size = "6 pages",
• abstract = "Cooperative coevolution algorithms (CCEAs) usually represent a searched solution as an aggregation of several individuals (or even as a whole population). In other terms, each individual only bears a part of the searched solution. This scheme allows to use the artificial Darwinism principles in a more economic way, and the gain in terms of robustness and efficiency is important. In the computer vision domain, this scheme has been applied to stereovision, to produce an algorithm (the fly algorithm) with asynchronism property. However, this property has not yet been fully exploited, in particular at the sensor level, where CMOS technology opens perpectives to faster reactions. We describe in this paper a new coevolution engine that allow the Fly Algorithm to better exploit the properties of CMOS image sensors.",
• notes = "IJCCI 2009. SciTE Press. Paper Nr: 54",

}

Genetic Programming entries for Emmanuel Sapin Jean Louchet Evelyne Lutton

Citations