Share Email Print

Proceedings Paper

Application of genetic algorithms to the optimization design of electron optical system
Author(s): Changxin Gu; M. Q. Wu; Liying Shan; G. Lin
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The application of Genetic Algorithms (GAs) to the optimization design method, such as Simplex method and Powell method etc, can determine the final optimum structure and electric parameters of an electron optical system from given electron optical properties, but it may be landed in the localization of optimum search process. The GAs is a novel direct search optimization method based on principles of natural selection and survival of the fittest from natural evolution. Through the reproduction, crossover, and mutation iterative process, GAs can search the global optimum result. We applied the GAs to optimize an electron emission system and an extended field lens (EFL) respectively. The optimal structure and corresponding electrical parameters with a criterion of minimum objective function value, crossover radius for electron emission system and spherical aberration coefficient for EFL, have been searched and presented in this paper. The GAs, as a direct search method and an adaptive search technique, has significant advantage in the optimization design of electron optical systems.

Paper Details

Date Published: 21 December 2001
PDF: 11 pages
Proc. SPIE 4510, Charged Particle Detection, Diagnostics, and Imaging, (21 December 2001); doi: 10.1117/12.451273
Show Author Affiliations
Changxin Gu, Fudan Univ. (China)
M. Q. Wu, Fudan Univ. (China)
Liying Shan, Fudan Univ. (China)
G. Lin, Fudan University (China)

Published in SPIE Proceedings Vol. 4510:
Charged Particle Detection, Diagnostics, and Imaging
Eric Munro; John A. Rouse, Editor(s)

© SPIE. Terms of Use
Back to Top