NDLI: Metaheuristic algorithms for dispersion optimization of photonic crystal fibers

Content Provider	Springer Nature Link
Author	Hameed, Mohamed Farhat O. Mahmoud, K. R. Obayya, S. S. A.
Copyright Year	2016
Abstract	In this paper, recent metaheuristic algorithms such as central force optimization (CFO) and particle swarm optimization (PSO) have been used for efficient calculation and optimization of the dispersion properties of photonic crystal fibers (PCFs), in an easy, efficient, and simple way. The suggested approach depends on the use of full vectorial finite difference method along with the optimization techniques for PCF dispersion optimization. The design of ultra-flattened zero dispersion PCF over a wide band of wavelengths from 1.25 to 1.6 µm is carried out in order to introduce the advantages of using these algorithms in conjunction with the numerical methods. Additionally, the CFO and PSO algorithms have a strong potential to be intriguing tools for the design and optimization of different photonic devices. Further, these algorithms prove to be powerful techniques for solving the inverse problems.
Starting Page	1
Ending Page	11
Page Count	11
File Format	PDF
ISSN	03068919
Journal	Optical and Quantum Electronics
Volume Number	48
Issue Number	2
e-ISSN	1572817X
Language	English
Publisher	Springer US
Publisher Date	2016-01-22
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Dispersion Central force optimization Particle swarm optimization Photonic crystal fiber Finite difference method Optics, Optoelectronics, Plasmonics and Optical Devices Electrical Engineering Characterization and Evaluation of Materials Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering

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