A Novel BBO Algorithm Based on Local Search and Nonuniform Variation for Iris Classification
In order to improve the iris classification rate, a novel biogeography-based optimization algorithm (NBBO) based on local search and nonuniform variation was proposed in this paper. Firstly, the linear migration model was replaced by a hyperbolic cotangent model which was closer to the natural law....
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6694695 |
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| _version_ | 1832550915464232960 |
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| author | Lisheng Wei Ning Wang Huacai Lu |
| author_facet | Lisheng Wei Ning Wang Huacai Lu |
| author_sort | Lisheng Wei |
| collection | DOAJ |
| description | In order to improve the iris classification rate, a novel biogeography-based optimization algorithm (NBBO) based on local search and nonuniform variation was proposed in this paper. Firstly, the linear migration model was replaced by a hyperbolic cotangent model which was closer to the natural law. And, the local search strategy was added to traditional BBO algorithm migration operation to enhance the global search ability of the algorithm. Then, the nonuniform variation was introduced to enhance the algorithm in the later iteration. The algorithm could achieve a stronger iris classifier by lifting weaker similarity classifiers during the training stage. On this base, the convergence condition of NBBO was proposed by using the Markov chain strategy. Finally, simulation results were given to demonstrate the effectiveness and efficiency of the proposed iris classification method. |
| format | Article |
| id | doaj-art-7e6470ef679443a5b85b4903c3f19867 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-7e6470ef679443a5b85b4903c3f198672025-02-03T06:05:26ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66946956694695A Novel BBO Algorithm Based on Local Search and Nonuniform Variation for Iris ClassificationLisheng Wei0Ning Wang1Huacai Lu2Anhui Key Laboratory of Electric Drive and Control, Anhui Polytechnic University, Wuhu 241000, ChinaAnhui Key Laboratory of Electric Drive and Control, Anhui Polytechnic University, Wuhu 241000, ChinaAnhui Key Laboratory of Electric Drive and Control, Anhui Polytechnic University, Wuhu 241000, ChinaIn order to improve the iris classification rate, a novel biogeography-based optimization algorithm (NBBO) based on local search and nonuniform variation was proposed in this paper. Firstly, the linear migration model was replaced by a hyperbolic cotangent model which was closer to the natural law. And, the local search strategy was added to traditional BBO algorithm migration operation to enhance the global search ability of the algorithm. Then, the nonuniform variation was introduced to enhance the algorithm in the later iteration. The algorithm could achieve a stronger iris classifier by lifting weaker similarity classifiers during the training stage. On this base, the convergence condition of NBBO was proposed by using the Markov chain strategy. Finally, simulation results were given to demonstrate the effectiveness and efficiency of the proposed iris classification method.http://dx.doi.org/10.1155/2021/6694695 |
| spellingShingle | Lisheng Wei Ning Wang Huacai Lu A Novel BBO Algorithm Based on Local Search and Nonuniform Variation for Iris Classification Complexity |
| title | A Novel BBO Algorithm Based on Local Search and Nonuniform Variation for Iris Classification |
| title_full | A Novel BBO Algorithm Based on Local Search and Nonuniform Variation for Iris Classification |
| title_fullStr | A Novel BBO Algorithm Based on Local Search and Nonuniform Variation for Iris Classification |
| title_full_unstemmed | A Novel BBO Algorithm Based on Local Search and Nonuniform Variation for Iris Classification |
| title_short | A Novel BBO Algorithm Based on Local Search and Nonuniform Variation for Iris Classification |
| title_sort | novel bbo algorithm based on local search and nonuniform variation for iris classification |
| url | http://dx.doi.org/10.1155/2021/6694695 |
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