Global optimization for optical thin-film design using Latin Squares

Dong-guang Li; Anthony Watson

doi:10.1117/12.279103

1 October 1997 Global optimization for optical thin-film design using Latin Squares

Dong-guang Li, Anthony Watson

Proceedings Volume 3133, Optical Thin Films V: New Developments; (1997) https://doi.org/10.1117/12.279103
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

There are many advanced local and global optimization techniques, such as Gradient, Simplex, Flip-flop, Needle, Genetic and Simulated Annealing, which have been successfully applied to optical thin-film design. However, all these optimization techniques either require a selection of a reasonable starting design, which is a big obstacle to an inexperienced designer, or they have some kind of inbuilt random feature, which may give rise to different answers each time. To find the true global optimized solution for a thin film design problem, we need to solve an array of interlinked multi-dimensional simultaneous equations. Until recently, for more than just a few layers, this has been a very difficult task, requiring the use of a supercomputer and highly skilled programming. By using orthogonal Latin Square theory and an experimental design methodology in a search space reduction process, a Windows based program has been written that can operate on even a 20 MHz 386 computer. It can find the global optimum design for up to 23 layers using as many dispersive and lossy materials as one wishes, within a period of hours. Additionally this methodology (called DGL-Optimization) allows the use of multiple target spectra with such as both s & p polarization, for reflection and transmission simultaneously.

Citation Download Citation

Dong-guang Li and Anthony Watson "Global optimization for optical thin-film design using Latin Squares", Proc. SPIE 3133, Optical Thin Films V: New Developments, (1 October 1997); https://doi.org/10.1117/12.279103

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