基于差分进化的热疗阵列天线能量聚焦优化

Energy-focusing optimization of hyperthermia array antenna by differential evolution

针对目前用于微波热疗中阵列天线存在的能量优化问题,提出了一种基于差分进化的能量聚焦优化算法(BP-DE)。通过使用BP神经网络结合差分进化算法优化阵列天线中每个阵元的振幅和相位来实现目标点位置的总能量最大化。为了验证算法的有效性与准确性,在多物理场仿真软件COMSOLMultiphysics中使用一个17阵元适形微波热疗阵列天线进行热场仿真验证。实验验证了该差分进化算法通过优化阵列天线馈源从而在目标点位置处精确聚焦能量的能力。同时为了验证所提出的BP-DE算法的优越性,与传统差分进化热疗结果进行对比,结果显示该BP-DE算法聚焦结果准确性平均高于传统差分进化算法23%。

To solve the problem of energy-focusing optimization of array antenna used in microwave hyperthermia,this paper proposes an energy optimization algorithm based on differential evolution.BP neural network and differential evolution(BP-DE)algorithm were used to optimize the amplitude and phase of each element in the array antenna to maximize the total energy at the target position.A multi-physics simulation software COMSOL MULTIPHYSICS was used to simulate the thermal field generated by a 17-element conformal microwave hyperthermia array antenna to verify the effectiveness and accuracy of the proposed algorithm.The experiment verifies the a-bility of this BP-DE algorithm on focusing energy accurately at the target point by optimizing the feed of the array antenna.At the same time,the comparison of the results in this study with the result of the traditional differential evolution thermotherapy shows that the fo-cusing accuracy of the BP-DE algorithm is 23%higher than that of the traditional differential evolution algorithm on average,which verifies the superiority of the proposed BP-DE algorithm.