关键词: 区间粒子算法（RPA）, 群体搜索, 参数训练, 线源反问题, 数值反演

Abstract:

Currently the numerical solution of the inverse problem of the line source does not have a mature and effective algorithm. Based on the study of the range search algorithm, a new algorithm is discussed for the numerically solving the inverse problem of the line sourcerange particle algorithm (Range Particle algorithm). First a brief introduction to the characteristics of solving the inverse problem of the line source is given, and a mathematical model of the inverse problem solution is established based on the line source equation. Secondly, based on the mathematical model, a range particle algorithm is designed to solve the problem, and the basic implementation steps and parameter adjustment of the algorithm are also discussed. Finally, the simulated and measured data are used to test the effect of the algorithm. The results show that the range particle algorithm has high precision, fast convergence and computational stability to the inverse problem of the line source, and it is applicable.

Key words: range particle algorithm(RPA);group searching;parameter adjustment;inverse