低幅射存储环的非线性优化。

IF 2.5 3区物理与天体物理 Journal of Synchrotron Radiation Pub Date : 2024-07-01 Epub Date: 2024-06-25 DOI:10.1107/S1600577524004569

Bonghoon Oh, Jinjoo Ko, Seunghwan Shin, Jaehyun Kim, Jaeyu Lee, Gyeongsu Jang

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引用次数: 0

摘要

多目标遗传算法（MOGA）是一种强大的全局优化工具，但其结果受交叉参数ηc的影响很大。要找到一个合适的 ηc 需要耗费大量计算时间，因为 MOGA 需要运行多次才能找到一个好的ηc。本文引入了一个自适应交叉参数，在运行 MOGA 的过程中，每一代都采用一个新的ηc。多代高斯过程优化（MGGPO）在生成试验解时也采用了这一新方案。与现有的 MGGPO 和 MOGA 相比，采用新策略的 MGGPO 和 MOGA 在设计低幅射存储环的非线性优化中表现出更好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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 η_c. Finding an appropriate η_c demands too much computing time because MOGA needs be run several times in order to find a good η_c. In this paper, a self-adaptive crossover parameter is introduced in a strategy to adopt a new η_c for every generation while running MOGA. This new scheme has also been adopted for a multi-generation Gaussian process optimization (MGGPO) when producing trial solutions. Compared with the existing MGGPO and MOGA, the MGGPO and MOGA with the new strategy show better performance in nonlinear optimization for the design of low-emittance storage rings.

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来源期刊

Journal of Synchrotron Radiation INSTRUMENTS & INSTRUMENTATIONOPTICS&-OPTICS

CiteScore

5.60

自引率

12.00%

发文量

289

审稿时长

1 months

期刊介绍： Synchrotron radiation research is rapidly expanding with many new sources of radiation being created globally. Synchrotron radiation plays a leading role in pure science and in emerging technologies. The Journal of Synchrotron Radiation provides comprehensive coverage of the entire field of synchrotron radiation and free-electron laser research including instrumentation, theory, computing and scientific applications in areas such as biology, nanoscience and materials science. Rapid publication ensures an up-to-date information resource for scientists and engineers in the field.

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