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@inproceedings{smith:ipac2021-mopab355,
author = {S.J. Smith and R. Apsimon and G. Burt and S. Setiniyaz and M.J.W. Southerby},
title = {{Multi-Objective Optimization of RF Structures}},
booktitle = {Proc. IPAC'21},
pages = {1103--1106},
eid = {MOPAB355},
language = {english},
keywords = {cavity, impedance, controls, RF-structure, ECR},
venue = {Campinas, SP, Brazil},
series = {International Particle Accelerator Conference},
number = {12},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {08},
year = {2021},
issn = {2673-5490},
isbn = {978-3-95450-214-1},
doi = {10.18429/JACoW-IPAC2021-MOPAB355},
url = {https://jacow.org/ipac2021/papers/mopab355.pdf},
note = {https://doi.org/10.18429/JACoW-IPAC2021-MOPAB355},
abstract = {{In this work, we apply multi-objective optimization methods to single-cell cavity models generated using non-uniform rational basis splines (NURBS). This modeling method uses control points and a NURBS to generate the cavity geometry, which allows for greater flexibility in the shape, leading to improved performance. Using this approach and multi-objective genetic algorithms (MOGAs) we find the Pareto frontiers for the typical key quantities of interest (QoI) including peak fields, shunt impedance and the modified Poynting vector. Visualizing these results becomes increasingly more difficult as the number of objectives increases, therefore, in order to understand these frontiers, we provide several techniques for analyzing, visualizing and using multi-dimensional Pareto fronts specifically for RF cavity design.}},
}