Abstract
Numerical simulation is one of the most efficient methods of investigating and optimizing nonlinear effects. However, simulating complex processes considering numerous nonlinear effects with the use of classical optimization methods is very difficult. This work deals with the application of a multiobjective genetic algorithm for the optimization of lattices of synchrotron radiation sources. This algorithm allows one to efficiently optimize both the linear and complex strongly nonlinear lattices of accelerators to obtain the required facility parameters.
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References
L. A. Gladkov, Genetic Algorithms, The School-Book, 2nd ed. (Fizmatlit, Moscow, 2006) [in Russian].
V. D. Nogin, Desicion Making in Multicriteria Media: Quantitative Approach (Fizmatlit, Moscow, 2002) [in Russian].
K. Deb, “A fast and elitist multi-objective genetic algorithm: NSGA-II,” IEEE Trans. Evolut. Comput. 6, 182–197 (2002).
V. V. Anashin et al., Nucl. Instrum. Methods Phys. Res. A 282, 369 (1989).
I. Agapov et al., “OCELOT: a software framework for synchrotron light source and FEL studies,” Nucl. Instrum. Methods Phys. Res. A 768, 151–156 (2014).
Ye. Fomin, V. Korchuganov, and A. Smygacheva, “The use of multi-objective genetic algorithms for accelerator and light source optimization,” in Proceedings of 25th Russian Particle Accelerator Conference RuPAC 2016, St. Petersburg, Russia, Nov. 21–25, 2016, pp. 376–378.
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Original Russian Text © V.N. Korchuganov, A.S. Smygacheva, Ye.A. Fomin, 2018, published in Pis’ma v Zhurnal Fizika Elementarnykh Chastits i Atomnogo Yadra, 2018.
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Korchuganov, V.N., Smygacheva, A.S. & Fomin, Y.A. Multiobjective optimization of the synchrotron radiation source Siberia-2 lattice using a genetic algorithm. Phys. Part. Nuclei Lett. 15, 92–96 (2018). https://doi.org/10.1134/S1547477118010120
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DOI: https://doi.org/10.1134/S1547477118010120