An Evolved Antenna for Deployment on Nasa's Space Technology 5 Mission

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InCollection{lohn:2004:GPTP,

• author = "Jason Lohn and Gregory Hornby and Derek Linden",
• title = "An Evolved Antenna for Deployment on Nasa's Space Technology 5 Mission",
• booktitle = "Genetic Programming Theory and Practice {II}",
• year = "2004",
• editor = "Una-May O'Reilly and Tina Yu and Rick L. Riolo and Bill Worzel",
• chapter = "18",
• pages = "301--315",
• address = "Ann Arbor",
• month = "13-15 " # may,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, evolvable hardware, design, computational design, antenna, wire antenna, spacecraft, evolutionary computation",
• ISBN = "0-387-23253-2",
• DOI = "doi:10.1007/0-387-23254-0_18",
• 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.",
• affiliation = "NASA Ames Research Center USA",
• notes = "part of \cite{oreilly:2004:GPTP2}",

}

Genetic Programming entries for Jason Lohn Gregory S Hornby Derek S Linden

Citations