Energy-focusing optimization of hyperthermia array antenna by differential evolution
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.
differential EvolutionBP neural networkmicrowave hyperthermiaoptimization algorithmenergy distribution
万方数据
维普
