Abstract
We present an evolutionary design process of a photonic crystal notch filter using a particle swarm optimization (PSO) algorithm in conjunction with finite-difference time domain (FDTD). The notch-filter parameter is optimized by PSO, and a fitness function is evaluated by FDTD simulations to represent the performance of each candidate design. Using these methods, a filter with desired resonant wavelength is obtained by the optimization process. Then this optimized filter is analyzed and simulated by FDTD to validate the robustness of the algorithm.
© 2009 Optical Society of America
Full Article |
PDF Article
More Like This
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription
Figures (3)
You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription
Tables (1)
You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription
Equations (2)
You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription