Optimization of the SAW Transducer Design by Probabilistic Global Search Lausanne
Complexity is a main shortcoming for designing surface acoustic wave transducer. It is effective to use the optimization program to design SAW transducer IDTs to aim at improvement in the transducer characteristics and shortening of the lead time of the product design. In general, it is difficult to apply the gradient method because there are a lot of semi-optimal solutions in the allowable range of the design parameters. Some researches have done by using global optimization algorithms, in which Genetic algorithms (Gas) are the most widely used. In this paper, a new and promising method based on Probabilistic Global Search Lausanne (PGSL), a new global optimization algorithm which was proposed by Benny Raphael is proposed.
Guiling Huang Qida Zhao Luming Zhao Shuhong Li Junfeng Lv Fei Wang Jiping Liao
Institute of Modern Optics,Nankai University,Tianjin 300071,China;Institute of Photo Electronic Thin Institute of Modern Optics,Nankai University,Tianjin 300071,China Department of Physics,Nankai University,Tianjin 300071,China
国际会议
Progress in Electromagnetics Research Symposium 2008(2008年电磁学研究新进展学术研讨会)(PIERS 2008)
杭州
英文
1-4
2008-03-24（万方平台首次上网日期，不代表论文的发表时间）