Optical Coating Designs Using the Family Competition Evolutionary Algorithm

Jinn Moon Yang, Jorng Tzong Horng, Chih Jen Lin, Cheng Yan Kao

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

A robust evolutionary approach, called the Family Competition Evolutionary Algorithm (FCEA), is described for the synthesis of optical thin-film designs. Based on family competition and adaptive rules, the proposed approach consists of global and local strategies by integrating decreasing mutations and self-adaptive mutations. The method is applied to three different optical coating designs with complex spectral quantities. Numerical results indicate that the proposed approach performs very robustly and is very competitive with other approaches.

Original languageEnglish
Pages (from-to)421-443
Number of pages23
JournalEvolutionary computation
Volume9
Issue number4
DOIs
StatePublished - 1 Dec 2001

Keywords

  • Evolutionary algorithms
  • Family competition
  • Infrared antireffection coating
  • Multiple mutations
  • Thin-lm coatings
  • Tristimulus lter

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