Developing Maneuvering Behaviors for a Glider UAV Using a Genetic Programming Model
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @TechReport{02-3147_Albatross,
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author = "R. J. Pryor and Dianne Barton",
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title = "Developing Maneuvering Behaviors for a Glider {UAV}
Using a Genetic Programming Model",
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institution = "Sandia National Laboratories",
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year = "2002",
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number = "SAND-2002-3147",
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address = "Albuquerque, NM 87185-1110, USA",
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month = sep,
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keywords = "genetic algorithms, genetic programming",
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annote = "The Pennsylvania State University CiteSeerX Archives",
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bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
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language = "en",
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oai = "oai:CiteSeerX.psu:10.1.1.538.1604",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.538.1604",
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broken = "http://est.sandia.gov/consequence/docs/Albatross.pdf",
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URL = "https://cfwebprod.sandia.gov/cfdocs/CompResearch/templates/insert/pubs.cfm?year_presented=2002",
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URL = "https://cfwebprod.sandia.gov/cfdocs/CompResearch/docs/02-3147_Albatross.pdf",
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size = "25 pages",
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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