摘要
对多阵元超声热疗声场进行模式优化研究 .在对空间声场提出合理的优化目标函数后 ,提出了两种优化算法进行全局寻优 :一种是遗传算法构造的声场模式控制算法 ;另一种是特征向量算法 .用遗传算法和特征向量算法对声场控制模式控制的仿真研究表明 :能达到声场控制模式优化的目标 ,而遗传算法比特征向量算法具有更多特征优势 .
This paper mainly deals with problems of optimal field pattern control to the field conjugate direct synthesis of phased\|array ultrasound hyperthermia. First,the rational optimal objective function for acoustic field pattern is put forward. Then, two optimal algorithms for global optimization are proposed. One is the genetic algorithm for constructing acoustic field pattern control and the other is the eigenvector algorithm for the same purpose. The simulation is performed with these two algorithms, genetic algorithm and eigenvector algorithm. Eventually, the objective of optimal field pattern control is achieved successfully. The genetic algorithm has better characteristics as compared with the eigenvector algorithm.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2001年第2期347-353,共7页
Acta Physica Sinica
基金
国家自然科学基金! (批准号 :6 992 5 10 1)资助的课题
关键词
优化
遗传算法
超声相控阵
热疗
共轭直接合成
optimization, genetic algorithm, ultrasound phased array, hyperthermia