Hi John, Here is the entry from the Evolvable Systems Group for our work on evolving an antenna for the NASA Space Technology 5 Mission. Let us know if you need any more information, Greg (1) the name, physical address, e-mail address, and phone number of EACH author, Jason D. Lohn Mailstop 269-1 NASA Ames Research Center Computational Sciences Division jlohn@email.arc.nasa.gov 650-604-5138 Gregory S. Hornby Mailstop 269-1 NASA Ames Research Center, QSS Group, Inc. Computational Sciences Division hornby@email.arc.nasa.gov 650-604-3373 Derek S. Linden Linden Innovation Research, LLC. P.O. Box 1601 Ashburn, VA 20146-1601 dlinden@lindenir.com 703-587-5477 (2) the title of at least one paper published in the open literature describing the work, J. D. Lohn and G. S. Hornby and D. S. Linden, "An Evolved Antenna for Deployment on NASA's Space Technology 5 Mission", In, Genetic Programming Theory and Practice II, U.-M. O'Reilly and R. L. Riolo and T. Yu and B. Worzel (eds), Chapter 18, in press, Kluwer. (3) the abstract of the paper(s), 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 optimizing antennas by hand are time and labor 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 beamwidth for a circularly-polarized 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. (4) PDF file of the paper(s), and (attached) (5) a statement specifically identifying one or more of the eight criteria (below) and stating why the result satisfies that criteria. See examples (below) illustrating the form of the statement. (D) This work has been presented in Genetic Programming Theory and Practice Workshop 2004 and will be published in the upcoming workshop book. In addition, this work is being presented at the IEEE Symposium on Antennas and Propagation, June 20-26, 2004 and will be published in the symposium proceedings. (E&G) The antenna designed by the contracting team of human designers for the Space Technology 5 mission -- which won the bid against several competing organizations to supply the antenna -- did not meet the mission requirements while the evolved antenna did meet these requirements.