| Zhang Yanjun(张燕君),Jin Peijun,Fu Xinghu,Hou Jiaoru,Zhang Fangcao,Xu Jinrui.[J].高技术通讯(英文),2019,25(4):401~407 |
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| Brillouin scattering spectrum character extraction based on genetic algorithm and seeker optimization algorithm |
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| DOI：doi：10.3772/j.issn.1006-6748.2019.04.008 |
| 中文关键词: |
| 英文关键词: Brillouin scattering spectrum (BSS), seeker optimization algorithm (SOA), genetic algorithm (GA), particle swarm optimization (PSO), Brillouin frequency shift (BFS) |
| 基金项目: |
| Author Name | Affiliation | | Zhang Yanjun(张燕君) | | | Jin Peijun | | | Fu Xinghu | | | Hou Jiaoru | | | Zhang Fangcao | | | Xu Jinrui | |
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| 中文摘要: |
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| 英文摘要: |
| A new hybrid optimization method based on genetic algorithm (GA) and seeker optimization algorithm (SOA) is presented in this paper. The hybrid algorithm optimizes SOA by using crossover and mutation operations in GA in order to improve the global search ability of SOA. Four algorithms, i.e. particle swarm optimization (PSO), SOA, GA and quantum-behaved particle swarm optimization (GA-QPSO) and GA-SOA are used to process the simulation and experimental data of Brillouin scattering spectrum (BSS) at different temperatures. The results show that GA-SOA improves the accuracy of extracting the center frequency shift and the minimum center frequency of Brillouin scattering spectrum compared with other three algorithms. The shift error is 0.203MHz. Therefore, GA-SOA can be applied to the accurate extraction of BSS characteristics. |
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