A Novel Fruit Fly Optimization Algorithm with Evolution Strategy for Magnetotelluric Data Inversion
As a novel metaheuristic algorithm, fruit fly optimization algorithm (FOA) can effectively deal with the inversion problem of one-dimensional magnetotelluric data. However, FOA still has the disadvantage of premature convergence and falling into local extreme value. Therefore, based on standard FOA,...
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2023/8810401 |
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| _version_ | 1850222230864134144 |
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| author | Bin Yin Jie Yang Yue Li |
| author_facet | Bin Yin Jie Yang Yue Li |
| author_sort | Bin Yin |
| collection | DOAJ |
| description | As a novel metaheuristic algorithm, fruit fly optimization algorithm (FOA) can effectively deal with the inversion problem of one-dimensional magnetotelluric data. However, FOA still has the disadvantage of premature convergence and falling into local extreme value. Therefore, based on standard FOA, we improve the FOA algorithm by introducing evolutionary strategies. Firstly, crossover and mutation strategies are introduced to improve the updating process of FOA population individuals. Secondly, by improving the variation scale factor, the global search and local search capabilities of the algorithm are balanced, and these improvements can accelerate the algorithm convergence. The improved algorithm is compared with other algorithms. After the benchmark function test, the improved algorithm has better optimization ability. Finally, the MT theoretical model and field data are used to test that the evolutionary strategy can effectively improve the convergence speed of the algorithm, and the inversion accuracy of the new algorithm is greatly improved. |
| format | Article |
| id | doaj-art-729fbe738dcf42da8e45c9f43da928cf |
| institution | OA Journals |
| issn | 2314-4785 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-729fbe738dcf42da8e45c9f43da928cf2025-08-20T02:06:24ZengWileyJournal of Mathematics2314-47852023-01-01202310.1155/2023/8810401A Novel Fruit Fly Optimization Algorithm with Evolution Strategy for Magnetotelluric Data InversionBin Yin0Jie Yang1Yue Li2Jiangxi University of Science and TechnologyHubei Communications Planning and Design Institute Co., Ltd.Hubei Communications Planning and Design Institute Co., Ltd.As a novel metaheuristic algorithm, fruit fly optimization algorithm (FOA) can effectively deal with the inversion problem of one-dimensional magnetotelluric data. However, FOA still has the disadvantage of premature convergence and falling into local extreme value. Therefore, based on standard FOA, we improve the FOA algorithm by introducing evolutionary strategies. Firstly, crossover and mutation strategies are introduced to improve the updating process of FOA population individuals. Secondly, by improving the variation scale factor, the global search and local search capabilities of the algorithm are balanced, and these improvements can accelerate the algorithm convergence. The improved algorithm is compared with other algorithms. After the benchmark function test, the improved algorithm has better optimization ability. Finally, the MT theoretical model and field data are used to test that the evolutionary strategy can effectively improve the convergence speed of the algorithm, and the inversion accuracy of the new algorithm is greatly improved.http://dx.doi.org/10.1155/2023/8810401 |
| spellingShingle | Bin Yin Jie Yang Yue Li A Novel Fruit Fly Optimization Algorithm with Evolution Strategy for Magnetotelluric Data Inversion Journal of Mathematics |
| title | A Novel Fruit Fly Optimization Algorithm with Evolution Strategy for Magnetotelluric Data Inversion |
| title_full | A Novel Fruit Fly Optimization Algorithm with Evolution Strategy for Magnetotelluric Data Inversion |
| title_fullStr | A Novel Fruit Fly Optimization Algorithm with Evolution Strategy for Magnetotelluric Data Inversion |
| title_full_unstemmed | A Novel Fruit Fly Optimization Algorithm with Evolution Strategy for Magnetotelluric Data Inversion |
| title_short | A Novel Fruit Fly Optimization Algorithm with Evolution Strategy for Magnetotelluric Data Inversion |
| title_sort | novel fruit fly optimization algorithm with evolution strategy for magnetotelluric data inversion |
| url | http://dx.doi.org/10.1155/2023/8810401 |
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