2026-10-13T06:23:11Z https://www.scidb.cn/oai

10.57760/sciencedb.j00186.00174 2023-08-11T20:26:59Z

2023-08-11 Design and optimization of diffraction-limited storage ring lattices based on many-objective evolutionary algorithms doi:10.57760/sciencedb.j00186.00174 en Two diffraction-limited storage ring (DLSR) lattices of ESRF-EBS type with different energies are designed and optimized using three many-objective evolutionary algorithms (MaOEAs) and a widely used multi-objective evolutionary algorithm. The initial population has been found to have a significant impact on the performance of the algorithms, and this impact has been carefully studied. The performance of the four algorithms is compared, and the results demonstrate that the grid-based evolutionary algorithm (GrEA) has the best performance. MaOEAs are applied in many-objective optimization of DLSR lattices for the first time and lattices with the natural emittance of 116 pm∙rad and 23 pm∙rad are obtained at energies of 2 GeV and 6 GeV, respectively, both with reasonable dynamic aperture and local momentum aperture (LMA).  storage ring lattices; many-objective evolutionary algorithms; GrEA algorithm; NSGA Hexing Yin Jiabao Guan Shunqiang Tian Jike Wang RESTRICTED dataset http://www.doi.org/10.1007/s41365-023-01284-2 Science Data Bank