| 《基于多目标遗传算法的消声器优化设计》 |
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| 引用本文： | 张翠翠,吴伟蔚,陈浩. 《基于多目标遗传算法的消声器优化设计》[J]. 噪声与振动控制, 2010, 30(3): 141-143. DOI: 10.3969/j.issn.1006-1355.2010.03.037 |
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| 作者姓名： | 张翠翠 吴伟蔚 陈浩 |
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| 作者单位： | （上海工程技术大学汽车工程学院,上海201620） |
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| 基金项目： | 上海高校知识创新工程(085工程)建设项目资助 |
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| 摘 要： | 四端网络法结合遗传算法设计消声器。以四端子网络为理论基础建立消声器的插入损失、传递损失、噪声降低的模型，模拟计算出消声器的消声特性响应曲线。应用多目标遗传算法对得到的消声器的噪声特性进行优化，结果使消声器的消声性能得到明显的改善，可以缩短设计周期，提高效率。
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| 关 键 词： | 声学 消声器 多目标遗传算法 优化设计 |
| 收稿时间： | 2009-06-23 |
Optimal Design of Mufflers Based on Multi-objective Genetic Algorithm |
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| ZHANG Cui-cui,WU Wei-wei,CHEN Hao. Optimal Design of Mufflers Based on Multi-objective Genetic Algorithm[J]. Noise and Vibration Control, 2010, 30(3): 141-143. DOI: 10.3969/j.issn.1006-1355.2010.03.037 |
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| Authors: | ZHANG Cui-cui WU Wei-wei CHEN Hao |
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| Affiliation: | (Automotive Engineering College, Shanghai University of Engineering and Science, Shanghai 201620, China) |
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| Abstract: | A methodology,which combines four-terminal network method with genetic algorithm method,for mufflers shape design is proposed.The main goal is to obtain the optimal dimensions of the acoustic mufflers with their transmission loss（TL）,insert loss（IL） and noise reduction（NR） being maximized in the frequency range of interest.The improved four-parameter method is used for TL,IL and NR evaluations.The mufflers are optimized by means of the Multi-Objective Genetic Algorithm.The result shows that the performance of the mufflers has been improved significantly. |
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| Keywords: | acoustics muffler Multi-Objective Genetic Algorithm optimization |
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