Simulated Annealing Algorithm and Genetic Algorithm for Optimization Design of Multilayer Optical Thin-Film Coatings

Abstract:

The key parameters for Simulated Annealing Algorithm (SAA) and Genetic Algorithm (GA) were determined by test experiments. With optimal parameters obtained for both algorithms, the multilayer antireflection coatings in the 7.7-12.3μm band and a neutral beam splitter in the visible region were designed. Results showed that, for infrared multilayer antireflection coatings, the evaluation function value of SAA was 18.7% lower than that of GA, and the average transmittance of SAA was 0.4% higher than that of GA. Compared to GA, SAA achieved a higher average transmittance and a more flat transmittance curve. And for the neutral beam splitter, the running time of GA was 0.407s less than that of SAA, whereas the convergence effect of SAA was superior to that of GA. Therefore, the design with SAA has certain advantages for both the infrared multilayer antireflection coating and the beam splitter.

• Periodical: Key Engineering Materials (Volumes 480-481)
• Pages: 1362-1367
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.480-481.1362
• Online since: June 2011
• Authors: Xiao Juan Zhang, Guan Jun Qiao
• Keywords: Genetic Algorithm (GA), Optical Thin-Film Coating, Optimization Design, Simulated Annealing Algorithm

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