Hybrid Local-Global Optimum Search Using Particle Swarm Gravitation Search Algorithm (HLGOS-PSGSA) for Waveguide Selection
Multiple beam combination in optical interferometry with concurrent measurement of intricate visibilities, around each possible baseline, is a trending research area. In this work, a hybrid method is proposed for three different waveguide arrays and several waveguides are excited simultaneously in e...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9535484/ |
| _version_ | 1819135367954038784 |
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| author | Simarpreet Kaur Mohit Srivastava Naveen Kumar Sharma Kamaljit Singh Bhatia Frie Ayalew Yimam Harsimrat Kaur Mohit Bajaj |
| author_facet | Simarpreet Kaur Mohit Srivastava Naveen Kumar Sharma Kamaljit Singh Bhatia Frie Ayalew Yimam Harsimrat Kaur Mohit Bajaj |
| author_sort | Simarpreet Kaur |
| collection | DOAJ |
| description | Multiple beam combination in optical interferometry with concurrent measurement of intricate visibilities, around each possible baseline, is a trending research area. In this work, a hybrid method is proposed for three different waveguide arrays and several waveguides are excited simultaneously in each array. Each waveguide array acts as a beam combiner, the output of which determines the field intensity of each waveguide mode. The output intensity depends on the waveguide selected for excitation. Thus, waveguide selection is the major factor that can affect the output intensity. The main goal of this research is to provide an effective solution for the selection of waveguides, to provide high visibility and intensity at the output of the multi-beam combiner. In addition to this, the use of metaheuristic optimization algorithms to solve the problem of waveguide selection is proposed. To accomplish this, firstly, an analytical study has been conducted to analyze the performance of optimization algorithms, including PSO, FA and GSA, and then the results of these algorithms have been compared with the conventional approaches. And finally, a model of Hybrid Local-Global Optimum Search Algorithm using Particle Swarm Gravitation Search Algorithm (HLGOS-PSGSA) has been developed for waveguide selection. The performance of the proposed hybrid model is examined in MATLAB simulation software. The simulated outcomes are determined for PSO, FA, and GSA-based models, as well as, for the proposed hybrid model, in terms of normalized intensity, visibility, and min-max 1/SNR values. The results obtained from simulation show that the PSO and GSA-based models are giving better results, followed by FA and conventional approaches. This worked as a motivation behind using PSO and GSA together in the proposed system, resulting in higher intensity and visibility values. Thus, the proposed hybrid model is concluded to be more efficient and convenient, for selecting optimum waveguides from the array, to attain an optimum output. |
| first_indexed | 2024-12-22T10:17:58Z |
| format | Article |
| id | doaj.art-3b2363461c034ba8b12381f54e2e6029 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T10:17:58Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3b2363461c034ba8b12381f54e2e60292022-12-21T18:29:41ZengIEEEIEEE Access2169-35362021-01-01912786612788210.1109/ACCESS.2021.31120699535484Hybrid Local-Global Optimum Search Using Particle Swarm Gravitation Search Algorithm (HLGOS-PSGSA) for Waveguide SelectionSimarpreet Kaur0Mohit Srivastava1Naveen Kumar Sharma2Kamaljit Singh Bhatia3Frie Ayalew Yimam4https://orcid.org/0000-0002-1368-2640Harsimrat Kaur5Mohit Bajaj6https://orcid.org/0000-0002-1086-457XDepartment of Electrical Engineering, I. K. Gujral Punjab Technical University, Jalandhar, IndiaECE Department, Chandigarh Engineering College, Punjab, Landran, IndiaDepartment of Electrical Engineering, I. K. Gujral Punjab Technical University, Jalandhar, IndiaDepartment of ECE, G. B. Pant Institute of Engineering & Technology, Garhwal, Pauri, IndiaSchool of Electrical and Computer Engineering, Woldia University, Woldia, EthiopiaDepartment of ECE, CT Institute of Engineering and Technology, Punjab, Jalandhar, IndiaDepartment of Electrical and Electronics Engineering, National Institute of Technology Delhi, New Delhi, IndiaMultiple beam combination in optical interferometry with concurrent measurement of intricate visibilities, around each possible baseline, is a trending research area. In this work, a hybrid method is proposed for three different waveguide arrays and several waveguides are excited simultaneously in each array. Each waveguide array acts as a beam combiner, the output of which determines the field intensity of each waveguide mode. The output intensity depends on the waveguide selected for excitation. Thus, waveguide selection is the major factor that can affect the output intensity. The main goal of this research is to provide an effective solution for the selection of waveguides, to provide high visibility and intensity at the output of the multi-beam combiner. In addition to this, the use of metaheuristic optimization algorithms to solve the problem of waveguide selection is proposed. To accomplish this, firstly, an analytical study has been conducted to analyze the performance of optimization algorithms, including PSO, FA and GSA, and then the results of these algorithms have been compared with the conventional approaches. And finally, a model of Hybrid Local-Global Optimum Search Algorithm using Particle Swarm Gravitation Search Algorithm (HLGOS-PSGSA) has been developed for waveguide selection. The performance of the proposed hybrid model is examined in MATLAB simulation software. The simulated outcomes are determined for PSO, FA, and GSA-based models, as well as, for the proposed hybrid model, in terms of normalized intensity, visibility, and min-max 1/SNR values. The results obtained from simulation show that the PSO and GSA-based models are giving better results, followed by FA and conventional approaches. This worked as a motivation behind using PSO and GSA together in the proposed system, resulting in higher intensity and visibility values. Thus, the proposed hybrid model is concluded to be more efficient and convenient, for selecting optimum waveguides from the array, to attain an optimum output.https://ieeexplore.ieee.org/document/9535484/InterferometersMZIwaveguide arraywaveguide selectionPSOintensity |
| spellingShingle | Simarpreet Kaur Mohit Srivastava Naveen Kumar Sharma Kamaljit Singh Bhatia Frie Ayalew Yimam Harsimrat Kaur Mohit Bajaj Hybrid Local-Global Optimum Search Using Particle Swarm Gravitation Search Algorithm (HLGOS-PSGSA) for Waveguide Selection IEEE Access Interferometers MZI waveguide array waveguide selection PSO intensity |
| title | Hybrid Local-Global Optimum Search Using Particle Swarm Gravitation Search Algorithm (HLGOS-PSGSA) for Waveguide Selection |
| title_full | Hybrid Local-Global Optimum Search Using Particle Swarm Gravitation Search Algorithm (HLGOS-PSGSA) for Waveguide Selection |
| title_fullStr | Hybrid Local-Global Optimum Search Using Particle Swarm Gravitation Search Algorithm (HLGOS-PSGSA) for Waveguide Selection |
| title_full_unstemmed | Hybrid Local-Global Optimum Search Using Particle Swarm Gravitation Search Algorithm (HLGOS-PSGSA) for Waveguide Selection |
| title_short | Hybrid Local-Global Optimum Search Using Particle Swarm Gravitation Search Algorithm (HLGOS-PSGSA) for Waveguide Selection |
| title_sort | hybrid local global optimum search using particle swarm gravitation search algorithm hlgos psgsa for waveguide selection |
| topic | Interferometers MZI waveguide array waveguide selection PSO intensity |
| url | https://ieeexplore.ieee.org/document/9535484/ |
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