Design and optimization of diffraction-limited storage ring lattices based on many-objective evolutionary algorithms

Multi-objective evolutionary algorithms (MOEAs) are typically used to optimize two or three objectives in the accelerator field and perform well. However, the performance of these algorithms may severely deteriorate when the optimization objectives for an accelerator are equal to or greater than fou...

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Vydané v:Nuclear science and techniques Ročník 34; číslo 10; s. 20 - 35
Hlavní autori: Yin, He-Xing, Guan, Jia-Bao, Tian, Shun-Qiang, Wang, Ji-Ke
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Singapore Springer Nature Singapore 01.10.2023
The Institute for Advanced Studies,Wuhan University,Wuhan 430072,China%Shanghai Advanced Research Institute,Chinese Academy of Sciences,Shanghai 201210,China
Predmet:
Beam Physics
Nuclear Energy
Particle Acceleration and Detection
Particle and Nuclear Physics
Physics
Physics and Astronomy
Storage ring lattices
Many-objective evolutionary algorithms
GrEA algorithm
NSGA
ISSN:1001-8042, 2210-3147
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Shrnutí:Multi-objective evolutionary algorithms (MOEAs) are typically used to optimize two or three objectives in the accelerator field and perform well. However, the performance of these algorithms may severely deteriorate when the optimization objectives for an accelerator are equal to or greater than four. Recently, many-objective evolutionary algorithms (MaOEAs) that can solve problems with four or more optimization objectives have received extensive attention. In this study, two diffraction-limited storage ring (DLSR) lattices of the Extremely Brilliant Source (ESRF-EBS) type with different energies were designed and optimized using three MaOEAs and a widely used MOEA. The initial population was found to have a significant impact on the performance of the algorithms and was carefully studied. The performances of the four algorithms were compared, and the results demonstrated that the grid-based evolutionary algorithm (GrEA) had the best performance. MaOEAs were applied in many-objective optimization of DLSR lattices for the first time, and lattices with natural emittances of 116 and 23 pm∙rad were obtained at energies of 2 and 6 GeV, respectively, both with reasonable dynamic aperture and local momentum aperture (LMA). This work provides a valuable reference for future many-objective optimization of DLSRs.
ISSN:1001-8042
2210-3147
DOI:10.1007/s41365-023-01284-2