一种求解级联拉曼光纤激光器的方法

 根据适应度函数的具体情况改进了微粒群算法，与基本微粒群算法相比，其复杂函数的寻优能力得到了提高。利用改进的微粒群算法对不同结构的拉曼光纤激光器理论模型对应的适应度函数进行了算法测试，保证适应度函数精度(10^-5)的情况下，计算时间不超过15 s。与Newton-Raphson打靶算法配合时,有效地缩短计算时间、提高打靶算法稳定性和计算精度。最后，利用该算法数值分析了二阶掺磷拉曼光纤激光器输出端反射率、光纤长度和泵浦功率对输出功率的影响。

Novel method for cascaded Raman fiber lasers

As for the numerical solution of cascaded Raman fiber laser(CRFL) optical power coupling equations, the problem is that the conventional shooting algorithm is a waste of time and easily undershoots. In the new algorithm the equations is simply transformed to obtain the fitness function which can be solved by the optimization algorithm. According to the actual situation of fitness function, the improved particle swarm optimization(PSO) can enhance the optimization capability of complex functions compared with the basic PSO. The algorithm is also tested by the fitness functions derived from the theoretical model of different structures of CRFLs, and the calculating time is no more than 15 s when the accuracy of the fitness function is 10-5. The algorithm used in conjunction with the Newton-R