- author = "Julie Rolla and Bryan Reynolds and Jacob Weiler and Dylan Wells and Max Foreback and Amy Connolly and Emily Dolson and Charles Ofria",
- title = "Applications of Genetic Programming for Instrument Design",
- booktitle = "Genetic Programming Theory and Practice XXII",
- year = "2025",
- editor = "Bogdan Burlacu and Fabricio {Olivetti de Franca} and Alexander Lalejini and Stephen Kelly and Wolfgang Banzhaf",
- series = "Genetic and Evolutionary Computation",
- pages = "353--371",
- address = "Michigan State University, USA",
- month = jun # " 5-7",
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-981-95-6397-5",
-
DOI = "
10.1007/978-981-95-6398-2_17",
- abstract = "NASA Astrophysics, Earth science, and commercial sensing missions must incorporate high-performance instruments ... geometry and relationship between primitive shapes in a tree dictionary. The early efforts of evolving to target three-dimensional (3D) shapes are described, followed by updating the algorithm to evolve into working antennas, using a fitness function based on electromagnetic simulation of individuals. In a case study for the Askaryan Radio Array, Nebulous produced a vertically polarized antenna that increases the effective volume across 200 to 800 MHz and outperforms the deployed bicone design in simulations. Ongoing work is expanding the primitive library, adding multiple feed support, and automating operator scheduling while paving the way for multi-objective optimization, surrogate modeling, and array-level evolution. Together, this chapter provides a road map by motivating the need for EAs for instrument design, demonstrating their power on a real science problem, and charting the next steps toward fully autonomous, science-driven hardware optimization across the space instrument community.",
-
notes = "lightning talk.
published in 2026 after the workshop",
