首页> 外文会议>Conference on Nonlinear Optics: Technologies and Applications; 20071112-13; Beijing(CN) >A Novel Numerical Algorithm for nth-order Cascaded Raman Fiber Lasers Based on Genetic Algorithm and Shooting Method
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A Novel Numerical Algorithm for nth-order Cascaded Raman Fiber Lasers Based on Genetic Algorithm and Shooting Method

机译:基于遗传算法和射击方法的n阶级联拉曼光纤激光器的数值算法

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摘要

In this paper, we proposed a novel numerical algorithm for nth-order cascaded Raman fiber lasers (CRFLs) with the combination of genetic algorithm (GA) and shooting method. Although shooting method possesses fast speed in solving nonlinear two-point boundary-value ordinary differential equations, calculating process may diverge if it is directly applied in the coupled equations of CRFLs when arbitrarily guessed initial values are out of the domain of convergence. To overcome the problem, genetic algorithm which has rather strong searching ability in global space is firstly employed to search for the initial value in convergent domain for each Stokes power; and then, the task of finding the more accurate initial values is finished by shooting method instead of GA whose searching ability is weak in local region. As an example, a sixth-order Ge-doped CRFL has been simulated by the novel algorithm. Calculated results show that the new method can effectively and quickly solve the coupled equations of the CRFL without the problem of divergence.
机译:本文结合遗传算法和射击方法,提出了一种用于n阶级联拉曼光纤激光器(CRFL)的新型数值算法。尽管射击方法在求解非线性两点边界值常微分方程方面具有较快的速度,但是如果任意猜测的初始值不在收敛范围内,则直接将其应用于CRFL的耦合方程中,计算过程可能会有所不同。为了克服这个问题,首先采用遗传算法在全局空间中具有较强的搜索能力,以针对每个斯托克斯功率在收敛域中搜索初始值。然后,通过射击方法代替局部搜索能力较弱的遗传算法完成寻找更准确初始值的任务。例如,已经通过该新颖算法模拟了六阶Ge掺杂的CRFL。计算结果表明,该新方法可以有效,快速地求解CRFL的耦合方程,而不会产生发散问题。

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