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.
|Number of pages||8|
|State||Published - 3 Dec 2000|
|Event||Proceedings of the 2000 Congress on Evolutionary Computation - California, CA, USA|
Duration: 16 Jul 2000 → 19 Jul 2000
|Conference||Proceedings of the 2000 Congress on Evolutionary Computation|
|City||California, CA, USA|
|Period||16/07/00 → 19/07/00|