Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/3702
Title: Modelling and optimization of photonic crystal fibres
Authors: Wang, Yifei
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics
Issue Date: 2007
Source: Wang, Y. (2007). Modelling and optimization of photonic crystal fibres. Master’s thesis, Nanyang Technological University, Singapore.
Abstract: The objective of this research is to develop an accurate and efficient modelling tool for automated optimal design of PCFs. In this thesis, we have studied both electromagnetic (EM) modelling and optimization methodologies. For EM modelling of PCFs, the space filling mode (SFM) - effective index (EI) method and the finite element method (FEM) are formulated, implemented, and tested. The SFM-EI is a semi-analytical method and it is efficient, but it can only treat repeated lattice structures. The FEM is a full vectorial numerical tool which can handle complicated geometries. Generally speaking, FEM is accurate, flexible and quite efficient, how- ever, it is still very time-consuming when used for optimal design where hundreds or thousands of individual solutions are needed. For optimization, genetic algorithms (GA) and particle swarm optimization (PSO) are studied, implemented, tested and compared. Both GAsand PSO are population based stochastic optimization tech- niques. GAsmimic the concept of biological genetics and natural evolution while PSO is inspired by social behavior and bird flocking or fish schooling.
URI: https://hdl.handle.net/10356/3702
DOI: 10.32657/10356/3702
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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