An Evolved Antenna for Deployment on Nasa's Space Technology 5 Mission
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InCollection{lohn:2004:GPTP,
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author = "Jason Lohn and Gregory Hornby and Derek Linden",
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title = "An Evolved Antenna for Deployment on Nasa's Space
Technology 5 Mission",
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booktitle = "Genetic Programming Theory and Practice {II}",
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year = "2004",
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editor = "Una-May O'Reilly and Tina Yu and Rick L. Riolo and
Bill Worzel",
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chapter = "18",
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pages = "301--315",
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address = "Ann Arbor",
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month = "13-15 " # may,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, evolvable
hardware, design, computational design, antenna, wire
antenna, spacecraft, evolutionary computation",
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ISBN = "0-387-23253-2",
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DOI = "doi:10.1007/0-387-23254-0_18",
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abstract = "We present an evolved X-band antenna design and flight
prototype currently on schedule to be deployed on
NASA's Space Technology 5 (ST5) spacecraft. Current
methods of designing and optimising antennas by hand
are time and labour intensive, limit complexity, and
require significant expertise and experience.
Evolutionary design techniques can overcome these
limitations by searching the design space and
automatically finding effective solutions that would
ordinarily not be found. The ST5 antenna was evolved to
meet a challenging set of mission requirements, most
notably the combination of wide beam width for a
circularly-polarised wave and wide bandwidth. Two
evolutionary algorithms were used: one used a genetic
algorithm style representation that did not allow
branching in the antenna arms; the second used a
genetic programming style tree-structured
representation that allowed branching in the antenna
arms. The highest performance antennas from both
algorithms were fabricated and tested, and both yielded
very similar performance. Both antennas were comparable
in performance to a hand-designed antenna produced by
the antenna contractor for the mission, and so we
consider them examples of human-competitive performance
by evolutionary algorithms. As of this writing, one of
our evolved antenna prototypes is undergoing flight
qualification testing. If successful, the resulting
antenna would represent the first evolved hardware in
space, and the first deployed evolved antenna.",
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affiliation = "NASA Ames Research Center USA",
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notes = "part of \cite{oreilly:2004:GPTP2}",
- }
Genetic Programming entries for
Jason Lohn
Gregory S Hornby
Derek S Linden
Citations