Optimization of electrostatic lens systems using genetic algorithms

Research output: Contribution to conferenceAbstractScientific

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Abstract

To optimize the design of a system of electrostatic lenses can be quite challenging. Especially when many lens electrodes are involved, the number of design parameters, such as electrode thickness, radius, gaps between electrodes and voltage, increases rapidly. Therefore, it would be really helpful when optimization routines can be used. There have been some attempts to develop optimization programs, such as Szilagy et al. [1] and Adriaanse et al. [2], but they used to be not very accurate. In the meantime, computers have become much more powerful, making it attractive to revisit the problem. In this work we apply a Genetic Algorithm [3] for the optimization, and MATLAB was chosen for coding.
Original languageEnglish
Pages24-25
Number of pages2
Publication statusPublished - 2018
EventRecent Trends
in Charged Particle Optics and Surface Physics Instrumentation

: 16th Seminar
- Skalský dvĤr , Brno, Czech Republic
Duration: 4 Jun 20188 Jun 2019
http://trends.isibrno.cz/

Conference

ConferenceRecent Trends
in Charged Particle Optics and Surface Physics Instrumentation

CountryCzech Republic
CityBrno
Period4/06/188/06/19
Internet address

Keywords

  • ELECTROSTATIC LENS SYSTEMS
  • Optimization
  • Genetic Algorithm (GA)
  • SOEM(Second Order Electrode Method)

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