Abstract
This paper presents an evolutionary approach, called Family Competition Evolutionary Algorithm (FCEA), to design optical thin-film multilayer systems. FCEA integrates self-adaptive mutations, decreasing-based mutations, and four-layer selections to balance exploration and exploitation. One antireflection coating and one narrow-band rejection filter are presented to demonstrate that our approach is a powerful technique. Our approach consistently performs better than other evolutionary algorithms and other published results on these two problems. From experimental results of antireflection coating, our optimal solutions exhibit a pronounced semiperiodic clustering of layers and these solutions also confirm the theoretical prediction between the optical thickness and the best achievable reflectance.
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Yang, JM., Kao, CY. (1998). An evolutionary algorithm for synthesizing optical thin-film designs. In: Eiben, A.E., Bäck, T., Schoenauer, M., Schwefel, HP. (eds) Parallel Problem Solving from Nature — PPSN V. PPSN 1998. Lecture Notes in Computer Science, vol 1498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056936
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DOI: https://doi.org/10.1007/BFb0056936
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