- author = "Dylan Wells and Julie Rolla and Jacob Weiler and Amy L Connolly and Bryan Reynolds",
- title = "Evolving Antennas From Building Blocks Using Evolutionary Algorithms",
- booktitle = "2024 Fall Meeting of the APS Eastern Great Lakes Section",
- year = "2024",
- pages = "E01.00039",
- address = "Marietta College, Marietta, Ohio, USA",
- publisher_address = "1 Physics Ellipse, College Park, MD 20740-3844, USA",
- month = oct # " 18-19",
- publisher = "American Physical Society",
- keywords = "genetic algorithms, genetic programming, GENETIS: Poster",
-
URL = "
https://meetings.aps.org/Meeting/EGLSF24/Session/E01.39",
- abstract = "Evolutionary algorithms use concepts of biological evolution in order to find solutions to difficult optimization problems. This work presents a genetic algorithm to evolve arbitrary antenna designs towards the goal of either matching a desired radiation pattern or maximizing sensitivity in user-specified directions. The algorithm constructs antennas by combining geometric shapes like building blocks. We explore the results of evolutions towards both fitness metrics in single-frequency (300 MHz) and broadband (200 MHz to 800 MHz) applications. This work was initially inspired from astrophysics experiments that are reliant on sensitive detectors, and future work will include metrics from astrophysical simulation software as the measure of fitness.",
-
notes = "The research was carried out at the Jet Propulsion
Laboratory, California Institute of Technology, under a
contract with the National Aeronautics and Space
Administration(80NM0018D0004)
4:15 PM, Friday, October 18, 2024 https://meetings.aps.org/Meeting/EGLSF24/Session/E01",
