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

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 multio...

Full description

Saved in:
Bibliographic Details
Published inPhysics of particles and nuclei letters Vol. 15; no. 1; pp. 92 - 96
Main Authors Korchuganov, V. N., Smygacheva, A. S., Fomin, Ye. A.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 2018
Springer Nature B.V
Subjects
Accelerators
Computer simulation
Computer Technologies in Physics
Genetic algorithms
Lattices (mathematics)
Multiple objective analysis
Optimization
Particle and Nuclear Physics
Physics
Physics and Astronomy
Radiation sources
Synchrotron radiation
X-rays
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:1547-4771
1531-8567
DOI:10.1134/S1547477118010120