Nonlinear optimization for a low-emittance storage ring

Nonlinear optimization for a low-emittance storage ring

A multi-objective genetic algorithm (MOGA) is a powerful global optimization tool, but its results are considerably affected by the crossover parameter ηc. Finding an appropriate ηc demands too much computing time because MOGA needs be run several times in order to find a good ηc. In this paper, a s...

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Bibliographic Details
Main Authors: Bonghoon Oh, Jinjoo Ko, Seunghwan Shin, Jaehyun Kim, Jaeyu Lee, Gyeongsu Jang
Format: Article
Language:English
Published: International Union of Crystallography 2024-07-01
Series:Journal of Synchrotron Radiation
Subjects:
storage ring
dynamic aperture
moga
mggop
self-adaptive crossover
Online Access:https://journals.iucr.org/paper?S1600577524004569

Internet

https://journals.iucr.org/paper?S1600577524004569

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