| 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,and GENG Xue.An intelligent method to design laser resonator with particle swarm optimization algorithm[J].Optoelectronics Letters,2018,14(6):425-428 |
| An intelligent method to design laser resonator with particle swarm optimization algorithm |
| Author Name | Affiliation | | HAN Ke-zhen | School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China | | HUANG Yan | School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China | | LIU Fang-fang | School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China | | PANG Xin | School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China | | HU Ping | School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China | | LIU Guo-wei | School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China | | QIN Hua | School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China | | ZHANG Fang | School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China | | GE Xiao-lu | School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China | | LIU Xiao-juan | School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China | | and GENG Xue | School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China |
|
| Abstract: |
| 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. |
| Hits: 900 |
| Download times: 0 |
|
| View Full Text Download reader |
|
|
|
