Optical Coating Designs Using the Family Competition Evolutionary Algorithm

Authors:
Jinn-Moon Yang;Jorng-Tzong Horng;Chih-Jen Lin;Cheng-Yan Kao
Affiliations:
Department of Biological Science and Technology and Institute of Bioinformatics, National Chiao Tung University, Hsinchu, 30050, Taiwan;Department of Computer Science and Information Engineering, National Central University, Chungli, Taiwan;Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan;Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
Venue:
Evolutionary Computation
Year:
2001

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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.