Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

A parallel variable population multi-objective optimizer for accelerator beam dynamics optimization

Journal Article · · Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
 [1]
  1. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
+ Show Author Affiliations
The simultaneous optimization of multiple objective functions is needed in many particle accelerator applications. In this paper, we present a parallel evolution based multi-objective optimizer that uses a variable population from generation to generation and an external storage to save good solutions. Two heuristic optimization methods, one uses the unified differential evolution and the other uses the real-coded genetic algorithm, are included in the optimizer to generate next generation candidate solutions, and are compared in the test examples. Finally, as an application, we applied this optimizer to the beam dynamics design optimization of a photoinjector and attained the optimal front solutions after 200 generations with the unified differential evolution offspring production scheme.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE; USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
2234049
Alternate ID(s):
OSTI ID: 1984736
Journal Information:
Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment, Journal Name: Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment Vol. 1054; ISSN 0168-9002
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (13)

Evolutionary robustness analysis for multi-objective optimization: benchmark problems journal October 2013
Recent advances in differential evolution: a survey and experimental analysis journal October 2009
Global optimization of an accelerator lattice using multiobjective genetic algorithms
  • Yang, Lingyun; Robin, David; Sannibale, Fernando
  • Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 609, Issue 1 https://doi.org/10.1016/j.nima.2009.08.027
journal October 2009
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces journal January 1997
Multiobjective optimization design of an rf gun based electron diffraction beam line journal March 2017
Multiobjective optimization of dynamic aperture journal May 2011
Simultaneous optimization of beam emittance and dynamic aperture for electron storage ring using genetic algorithm journal September 2011
Small-emittance and low-beta lattice designs and optimizations journal May 2012
Innovative applications of genetic algorithms to problems in accelerator physics journal January 2013
Multivariate optimization of a high brightness dc gun photoinjector journal March 2005
Three-dimensional quasistatic model for high brightness beam dynamics simulation journal April 2006
A fast and elitist multiobjective genetic algorithm: NSGA-II journal April 2002
Tuning of an adaptive unified differential evolution algorithm for global optimization conference July 2016

Figures / Tables (15)

Figure 1(p. 13)figure Figure 1
Figure 2(p. 13)figure Figure 2
Figure 3(p. 14)figure Figure 3
Figure 4(p. 14)figure Figure 4
Figure 5(p. 15)figure Figure 5
Figure 6(p. 15)figure Figure 6
Figure 7(p. 16)figure Figure 7
Figure 8(p. 16)figure Figure 8
Figure 10(p. 17)figure Figure 10
Figure 9(p. 17)figure Figure 9
Figure 11(p. 18)figure Figure 11
Figure 12(p. 18)figure Figure 12
Figure 13(p. 19)figure Figure 13
Table 1(p. 21)table Table 1
Figure 14(p. 22)figure Figure 14

Similar Records

Parallel Variable Population Multi-Objective Optimizer (pvpmoo) v1.0
Software · Sun Jun 02 20:00:00 EDT 2024 · OSTI ID:code-132940
Storage ring nonlinear dynamics optimization with multi-objective multi-generation Gaussian process optimizer
Journal Article · Wed Sep 30 20:00:00 EDT 2020 · Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment · OSTI ID:1811505
Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators
Journal Article · Tue Apr 15 20:00:00 EDT 2025 · Machine Learning: Science and Technology · OSTI ID:2558155

Related Subjects

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
beam dynamics
differential evolution
genetic algorithm
multi-objective optimization
particle accelerator