Title :
A robust evolutionary algorithm for optical thin-film designs
Author :
Yang, Jinn-Moon ; Kao, Cheng-Yen
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
This paper presents an evolutionary approach, called the family competition evolutionary algorithm (FCEA), for optical thin film design. 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
Keywords :
coatings; evolutionary computation; optical design techniques; optical engineering computing; optical films; decreasing-based Gaussian mutation; exploitation; exploration; family competition evolutionary algorithm; multiple adaptive rules; numerical analysis; optical coatings; optical thin film design; robust evolutionary algorithm; self-adaptive mutation; Algorithm design and analysis; Biomedical optical imaging; Coatings; Computer science; Evolutionary computation; Genetic algorithms; Genetic mutations; Optical design; Optical films; Robustness;
Conference_Titel :
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location :
La Jolla, CA
Print_ISBN :
0-7803-6375-2
DOI :
10.1109/CEC.2000.870751
