An evolutionary algorithm for synthesizing optical thin-film designs

Jinn-Moon Yang, Cheng Yan Kao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

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.

Original languageEnglish
Title of host publicationParallel Problem Solving from Nature, PPSN 1998 - 5th International Conference, Proceedings
PublisherSpringer Verlag
Pages947-956
Number of pages10
ISBN (Print)3540650784, 9783540650782
DOIs
StatePublished - 1998
Event5th International Conference on Parallel Problem Solving from Nature, PPSN 1998 - Amsterdam, Netherlands
Duration: 27 Sep 199830 Sep 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1498 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Parallel Problem Solving from Nature, PPSN 1998
Country/TerritoryNetherlands
CityAmsterdam
Period27/09/9830/09/98

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