Optimization of a thin-film multilayer design by use of the generalized simulated-annealing method

Abstract

The generalized simulated-annealing method is a statistical optimization method for finding the global minimum of a multivariable function. It was initially used in complicated lens system design. We report success in applying this method to thin-film multilayer design. The local minima trapping problem mentioned previously [W. J. Wild and H. Buhay, Opt. Lett. 11, 745 (1986)] with the simulated-annealing method is not found here because of the use of a proper evaluation function [I. O. Bohachevsky, M. E. Johnson, and M. L. Stein, Technometrics 28, 209 (1986)]. The effects of the initial configuration and the random step size on the simulation process are discussed systematically.

© 1990 Optical Society of America

Thin-film multilayer design optimization using a Monte Carlo approach

W. J. Wild and H. Buhay
Opt. Lett. 11(11) 745-747 (1986)

Thin-film designs by simulated annealing

T. Boudet, P. Chaton, L. Herault, G. Gonon, L. Jouanet, and P. Keller
Appl. Opt. 35(31) 6219-6226 (1996)

Refinement of optical multilayer systems with different optimization procedures

J. A. Dobrowolski and R. A. Kemp
Appl. Opt. 29(19) 2876-2893 (1990)

Rigorous microlens design using vector electromagnetic method combined with simulated annealing optimization

Hai-Jie Zuo, Jiang-Yong Zhang, Ying-Lei Ying, Bao-Ping Zhang, Zhi-Jin Hou, Hong-Xu Chen, and Jun-Jie Si
Opt. Express 22(10) 12653-12658 (2014)

Automatic design of optical thin-film systems—merit function and numerical optimization method

J. F. Tang and Q. Zheng
J. Opt. Soc. Am. 72(11) 1522-1528 (1982)