Human-competitive evolved antennas

Abstract We present a case study showing a human-competitive design of an evolved antenna that was deployed on a NASA spacecraft in 2006. We were fortunate to develop our antennas in parallel with another group using traditional design methodologies. This allowed us to demonstrate that our techniques were human-competitive because our automatically designed antenna could be directly compared to a human-designed antenna. The antennas described below were 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 in the development process: 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. Our design was approved for flight, and three copies of it were successfully flown on NASA's Space Technology 5 mission between March 22 and June 30, 2006. These evolved antennas represent the first evolved hardware in space and the first evolved antennas to be deployed.

[1]  Derek S. Linden,et al.  Automated design and optimization of wire antennas using genetic algorithms , 1997 .

[2]  E. Altshuler Electrically small self-resonant wire antennas optimized using a genetic algorithm , 2002 .

[3]  E. E. Altshuler,et al.  Design of a loaded monopole having hemispherical coverage using a genetic algorithm , 1997 .

[4]  Jordan B. Pollack,et al.  Creating High-Level Components with a Generative Representation for Body-Brain Evolution , 2002, Artificial Life.

[5]  Hao Wang,et al.  Introduction to Genetic Algorithms in Electromagnetics , 1995 .

[6]  G. Burke,et al.  Numerical Electromagnetics Code (NEC)-Method of Moments. A User-Oriented Computer Code for Analysis of the Electromagnetic Response of Antennas and Other Metal Structures. Part 1: Program Description-Theory. Part 2: Program Description-Code. Volume 1. Revised , 1981 .

[7]  J.D. Lohn,et al.  Evolutionary optimization of a quadrifilar helical antenna , 2002, IEEE Antennas and Propagation Society International Symposium (IEEE Cat. No.02CH37313).

[8]  E. E. Altshuler,et al.  Wire-antenna designs using genetic algorithms , 1997 .

[9]  Randy L. Haupt Genetic algorithm design of antenna arrays , 1996, 1996 IEEE Aerospace Applications Conference. Proceedings.

[10]  Yahya Rahmat-Samii,et al.  Electromagnetic Optimization by Genetic Algorithms , 1999 .

[11]  D. S. Linden,et al.  Wire antennas optimized in the presence of satellite structures using genetic algorithms , 2000, 2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484).

[12]  R. Mittra,et al.  Design of lightweight, broad-band microwave absorbers using genetic algorithms , 1993 .

[13]  Adeike A. Adewuya New methods in genetic search with real-valued chromosomes , 1996 .