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Grasshopper optimization algorithm in optical filter design for transmission applications

Author(s)
L. Jegan Antony Marcilin Department of ECE, Sathyabama Institute of Science and Technology,Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai,India
N. M. Nandhitha Department of ECE, Sathyabama Institute of Science and Technology,Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai,India
Abstract
This research concentrates on developing the optical band pass filter based on the grasshopper optimization algorithm (GOA) for the transmission applications. The optimal design is obtained by evaluating the various parameters, like thickness, refractive index and the influence of selecting optical parameters, which in turn boost the transmission potential. At first, the alternative multi-layer stack with 32, 30 and 28 layers are designed by varying the thickness and maintaining the constant low and high refractive indices integration of the dielectric substances. The algorithm is used to obtain the best feasible solution by optimizing the thickness of every layer. The proposed method is implemented using the MATLAB tool and the experimental outcome reveals the effectiveness of the proposed methodology.
Publication Details
Page(s) 551-558
DOI DOI not available
Published Journal: ARPN Journal of Engineering and Applied Sciences, Volume: 17, Issue: 5, Year: 2022

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Keywords
and transmission application, Dielectric material, optical band pass filter, grasshopper optimization algorithm
References
Sunita Parinam,Amit L. Sharma Parinam .2019 .An improved optical parameter optimization approach using Taguchi and genetic algorithm for high transmission optical filter design. Optik, 182 : 382-392.
Rabady Rabi I.,Ababneh Almahdi .2014 .Global optimal design of optical multilayer thin-film filters using particle swarm optimization. Optik, 125(1) : 548-553.
Li D. G.,Watson A. C. .1999 .Genetic algorithms in optical thin film optimization design. In Proceedings Third International Conference on Computational Intelligence and Multimedia Applications, : 86-90.
Paul Azunre,Baldo Marc A. .2019 .Guaranteed global optimization of thin-film optical systems. New Journal of Physics, 21(7) : 073050.
Ejigu Efrem K.,Beartys M.,Lacquet M. .2010 .The use of a genetic algorithm in optical thin film design and optimisation. South African Journal of Science, 106(7) : 1-4.
Mariana Costa,Vitória S.,Baptista S.,Catarino Susana O. .2021 .Multilayer thinfilm optical filters for reflectance-based malaria diagnostics. Micromachines, 12(8) : 890.
Parinam ,Sharma V. S. R. S.,Praveen Kumar,Mittal S. K.,Karar Vinod .2018 .Optimization of optical parameters for the design of multilayer bandpass filter using genetic algorithm. Materials Today: Proceedings. 5, (2) : 5091-5096.
Seyedeh Mirjalili,Zahra Mirjalili,Aljarah Ibrahim .2018 .Grasshopper optimization algorithm for multiobjective optimization problems. Applied Intelligence, 48(4) : 805-820.
Tilsch M. .2006 .Optical interference coatings design contest 2004, Appl. , 45 : 1544-54.
Macleod H. A.,J W Arrowsmith Ltd H. A. .2001 .Thin-Film Optical Filters. , : .
Rian T.,Sullivan J. A. .1996 .Implementation of a numerical needle method for thin-film design. Applied Optics, 35(28) : 5484-5492.
Eliahou-Niv S.,Dahan R.,Golan Gady .2006 .Design and analysis of a novel tunable optical filter. Microelectronics journal, 37(4) : 302-307.
Mohammadreza Mokhtari .2021 .Tunable optical filter design with ring resonator based Sagnac loop. Optik, 242 : 167068.
Vargas-Rodriguez ,Mario Alberto .2018 .Tunable optical filter based on two thermal sensitive layers. IEEE Photonics Technology Letters, 30(20) : 1776-1779.
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