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基于混合优化算法的水声环境参数反演
A Hybrid Optimization Method in Matched Field Inversion for Underwater Acoustical Parameters
【摘要】 在水声环境参数反演中,优化算法对反演结果有重要的影响。提出用遗传算法和Levenberg-Marquardt算法组成的混合优化算法进行浅海环境参数匹配场反演,利用仿真数据对算法的有效性进行了评估,并与遗传算法、模拟退火算法进行了比较,最后采用实验数据验证了方法的有效性。
【Abstract】 The optimization algorithms have significant effect on inverting the underwater acoustical parameters.Matched field inversion is conducted by using a hybrid method which combines the global genetic algorithms and the local Levenberg-Marquardt method.The combination of a global and a local method makes the inversion faster and results in a state closer to the global minimum.The inversion analysis based on simulated data and experimental data shows that the hybrid method works better compared with the individual global methods.
【关键词】 匹配场反演;
遗传算法;
模拟退火算法;
混合优化算法;
【Key words】 matched field inversion; genetic algorithms; simulated annealing; hybrid optimization method;
【Key words】 matched field inversion; genetic algorithms; simulated annealing; hybrid optimization method;
【基金】 国家自然科学基金(10774119);西北工业大学基础研究基金
- 【文献出处】 电声技术 ,Audio Engineering , 编辑部邮箱 ,2009年02期
- 【分类号】O427
- 【被引频次】8
- 【下载频次】153