Design of photonic devices using bio-inspired algorithms

Author

Silva-Santos, Carlos H. ; Claudio, Kleucio ; Hernández-Figueroa, Hugo E. ; Gonçalves, Marcos Sérgio

Author_Institution

Dept. of Microwave & Opt., Univ. of Campinas, Campinas, Brazil

fYear

2009

Firstpage

122

Lastpage

126

Abstract

The design of photonic devices in computer simulators is a complex task and, in some cases, there are not analytical solutions to support. An alternative is the application of some optimizations techniques. For this reason, this work presents three different bio-inspired algorithms (GA, ES and AIS) to optimize three different photonic devices. The main objectives are providing a flexible and efficient computational optimization tool to design different photonic devices and benchmarking the efficiency of each one. In addition, the efficiency results compare the optimization convergence and computational efforts necessary for each optimization.

Keywords

artificial immune systems; band-stop filters; genetic algorithms; integrated optics; optical couplers; optical design techniques; optical engineering computing; optical filters; optical waveguides; (Â¿/p+Â¿)ES; (Â¿/p,Â¿)ES; GaAs; air-waveguide coupling; artificial immune system algorithm; benchmarking; bio-inspired algorithms; computational optimization tool; computer simulators; evolution strategies; genetic algorithm; optical design; photonic devices; photonic power splitter; stop-band filter; Algorithm design and analysis; Biology computing; Computational modeling; Evolution (biology); Filters; Genetic algorithms; Genetic mutations; Optical computing; Optical design; Stochastic processes; Bechmark; Bio-inspired algorithms; Optimization; Photonic Devices;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave and Optoelectronics Conference (IMOC), 2009 SBMO/IEEE MTT-S International

Conference_Location

Belem

ISSN

1679-4389

Print_ISBN

978-1-4244-5356-6

Electronic_ISBN

1679-4389

Type

conf

DOI

10.1109/IMOC.2009.5427618

Filename

5427618