[原创] Genetic Algorithms in Optical Thin Film Optimisation Design

[/free]  Genetic Algorithms in Optical Thin Film Optimisation Design
D.G. Li and A.C. Watson
School of Computer and Information Science
Edith Cowan University
2 Bradford Street, Mount Lawley, W.A. 6050, Australia
Email: d.li@cowan.edu.au or a.watson@cowan.edu.au
Abstract
Optical thin films are used in a wide variety of optical components. An important aspect of modern
thin film design work is the use of computers to match the multilayer parameters to a set of optical
specifications such as a desired reflectance curve.
There are several basic approaches to the design of thin film multilayer coatings. These include
graphical, analytical and digital design methods. The latter, representing both local and global
minimum seeking algorithms, are particularly powerful because they lend themselves to the design
of coatings with much more complicated properties than is possible with the other methods. Many
traditional optimization technique, including Simplex, Gradient, and Damped lest-squares method,
have been used in this field. However, up to now it has not been possible to say if one of these
techniques gives the optimal solution of the problem to be solved.
A genetic algorithm is introduced to search for the optimal optical thin film design. This paper
discusses the problem of thin film design in greater detail. It shows how genetic algorithm can
evolve the design for better performance. Examples of designs obtained by GA optimization
techniques are given.[free]