Developing Maneuvering Behaviors for a Glider UAV Using a Genetic Programming Model

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

@TechReport{02-3147_Albatross,

• author = "R. J. Pryor and Dianne Barton",
• title = "Developing Maneuvering Behaviors for a Glider {UAV} Using a Genetic Programming Model",
• institution = "Sandia National Laboratories",
• year = "2002",
• number = "SAND-2002-3147",
• address = "Albuquerque, NM 87185-1110, USA",
• month = sep,
• keywords = "genetic algorithms, genetic programming",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.538.1604",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.538.1604",
• broken = "http://est.sandia.gov/consequence/docs/Albatross.pdf",
• URL = "https://cfwebprod.sandia.gov/cfdocs/CompResearch/templates/insert/pubs.cfm?year_presented=2002",
• URL = "https://cfwebprod.sandia.gov/cfdocs/CompResearch/docs/02-3147_Albatross.pdf",
• size = "25 pages",
• abstract = "This report describes the methodology for using a genetic programming model to develop maneuvering behaviours for an unmanned aerial vehicle (UAV) that is also a glider. The use of glider UAVs for surveillance and information-gathering operations has become increasingly important in defense and national security applications. Through an evolutionary process similar to that found in nature, the genetic programming model generates a computer program that when down-loaded onto a glider UAV's on-board computer will guide the vehicle to find regions of lift for staying aloft while accomplishing an information-gathering task. This report discusses various approaches to developing behaviours using genetic programming and presents the results achieved.",

}

Genetic Programming entries for Richard J Pryor Dianne Barton

Citations