Robust evolutionary algorithm for optical thin-film designs

Jinn-Moon Yang*, Cheng Yen Kao

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

9 Scopus citations

Abstract

This paper presents an evolutionary approach, called Family Competition Evolutionary Algorithm (FCEA), for optical thin-film designs. The proposed approach, based on family competition and multiple adaptive rules, integrates decreasing-based Gaussian mutation and two self-adaptive mutations to balance the exploitation and exploration. It is implemented and applied to two coating systems. Numerical results indicate that the proposed approach is very robust for optical coatings.

Original languageEnglish
Pages978-985
Number of pages8
DOIs
StatePublished - 3 Dec 2000
EventProceedings of the 2000 Congress on Evolutionary Computation - California, CA, USA
Duration: 16 Jul 200019 Jul 2000

Conference

ConferenceProceedings of the 2000 Congress on Evolutionary Computation
CityCalifornia, CA, USA
Period16/07/0019/07/00

Fingerprint

Dive into the research topics of 'Robust evolutionary algorithm for optical thin-film designs'. Together they form a unique fingerprint.

Cite this