Simultaneous Optimal Design of Multifunctional Acoustic Wave Device through Structural Analysis of Electrodes

声表面波（SAW）器件已经广泛地应用于诸如蜂窝电话的移动的通信设备的射频（RF）电路中。在这项研究中，多功能SAW器件的优化设计技术的发展，以减少在RF电路中使用的电子部件的数量。这项研究的结果可以归纳为以下三点。1)声表面波滤波器的结构设计是一个三目标优化问题。然后在最新进化算法的基础上提出了一种多目标进化算法。例如，将差分进化算法（DE）应用于优化问题。为了分析电极结构与器件性能之间的关系，采用主成分分析对MOEA得到的一组解进行了统计评价。2)提出了一种新的多目标进化算法，用于求解多目标优化问题。新的MOEA算法采用一种快速的排他超体积近似算法作为判定解的标准。3)为了利用多核CPU设计多功能声表面波器件，开发了一个并行DE程序。

Surface Acoustic Wave(SAW) devices have been used widely in Radio Frequency(RF) circuits of mobile communication equipments such as cellular phones. In this study, an optimal design technique of multifunctional SAW devices is developed for reducing the number of electronic parts used in RF circuits. The results of this study can be summarized by the following three points. 1) The structural design of a SAW filter is formulated as a three-objective optimization problem. Then a Multi-Objective Evolutionary Algorithm(MOEA) based on the latest EA, i. e., Differential Evolution(DE), is applied to the optimization problem. In order to analyze the relationship between the structure of electrodes and the device function, a set of solutions obtained by MOEA is evaluated statistically by using the principal component analysis. 2) A new MOEA is proposed for solving the multi-objective optimization problems which have more than four objectives. A fast approximation algorithm for the exclusive hypervolume is used by the new MOEA as the criterion of solutions. 3) In order to utilize multi-core CPUs for the design of multifunctional SAW devices, a concurrent program of DE is developed.