An intelligent method to design laser resonator with particle swarm optimization algorithm

作     者：HAN Ke-zhen HUANG Yan LIU Fang-fang PANG Xin HU Ping LIU Guo-wei QIN Hua ZHANG Fang GE Xiao-lu LIU Xiao-juan GENG Xue 韩克祯;黄燕;刘芳芳;庞鑫;胡平;刘国伟;秦华;张芳;葛筱璐;刘晓娟;耿雪

作者机构：School of Physics and Optoelectronic Engineering Shandong University of Technology 

基　　金：supported by the National Natural Science Foundation of China for Youths(Nos.11704227 and 11704226) the Natural Science Foundation of Shandong Province(No.ZR2017MA051) 

出 版 物：《Optoelectronics Letters》 (光电子快报（英文版）)

年 卷 期：2018年第14卷第6期

页      码：425-428页

摘      要：In order to design a complex laser resonator with multi-parameters, the method of particle swarm optimization(PSO) algorithm is employed. The parameters influencing the resonator stability and mode size distribution are taken into consideration, and the stability criteria index and the mode size distribution are used as target values. The absolute values of the differences between practical and the target values are set as the fitness function for the PSO. By minimizing the fitness function, a laser resonator with the optimized cavity parameters can be found. The analyses for the design example demonstrate the feasibility and validity of the PSO method in the computer aided design of multi-parameters laser resonator. Applying PSO algorithm in the intelligent design of solid state laser resonators can realize the transition from manual trial-and-error to computer intelligent design of the laser resonators.

主 题 词：laser resonator particle lgorithm 

学科分类：0809[工学-计算机类] 08[工学] 

核心收录：

D　O　I：10.1007/S11801-018-8073-2

馆 藏 号：203417205...