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| MOPAB355 |
Multi-Objective Optimization of RF Structures |
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- S.J. Smith, R. Apsimon, G. Burt, M.J.W. Southerby
Cockcroft Institute, Lancaster University, Lancaster, United Kingdom
- S. Setiniyaz
Cockcroft Institute, Warrington, Cheshire, United Kingdom
- S. Setiniyaz
Lancaster University, Lancaster, United Kingdom
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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.
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| DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-IPAC2021-MOPAB355
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| About • |
paper received ※ 19 May 2021 paper accepted ※ 15 July 2021 issue date ※ 30 August 2021 |
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