Advertisement

Physics of Particles and Nuclei Letters

, Volume 15, Issue 1, pp 92–96 | Cite as

Multiobjective optimization of the synchrotron radiation source Siberia-2 lattice using a genetic algorithm

  • V. N. Korchuganov
  • A. S. Smygacheva
  • Ye. A. Fomin
Computer Technologies in Physics
  • 14 Downloads

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    L. A. Gladkov, Genetic Algorithms, The School-Book, 2nd ed. (Fizmatlit, Moscow, 2006) [in Russian].Google Scholar
  2. 2.
    V. D. Nogin, Desicion Making in Multicriteria Media: Quantitative Approach (Fizmatlit, Moscow, 2002) [in Russian].Google Scholar
  3. 3.
    K. Deb, “A fast and elitist multi-objective genetic algorithm: NSGA-II,” IEEE Trans. Evolut. Comput. 6, 182–197 (2002).CrossRefGoogle Scholar
  4. 4.
    V. V. Anashin et al., Nucl. Instrum. Methods Phys. Res. A 282, 369 (1989).ADSCrossRefGoogle Scholar
  5. 5.
    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).ADSCrossRefGoogle Scholar
  6. 6.
    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.Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  • V. N. Korchuganov
    • 1
  • A. S. Smygacheva
    • 1
  • Ye. A. Fomin
    • 1
  1. 1.National Research Center “Kurchatov Institute”MoscowRussia

Personalised recommendations