Filament-induced breakdown spectroscopy (FIBS) is an analytical method that holds significant promise for remote sensing. In FIBS, it is desirable to maximize the intensity and improve the reproducibility of a selected spectroscopic feature. We demonstrate the use of wavefront control in conjunction with a genetic algorithm in FIBS of metallic copper and show that this approach can increase the efficacy of filament-induced breakdown signal production. Through wavefront optimization, we enhance the intensity of a chosen characteristic spectroscopic feature of copper by a factor of approximately 3 when performing filamentation over a 1-meter distance. The relative standard deviation of signal intensity is reduced from $\sim$17% to $\sim$12% after optimization. We find that modification of the wavefront by introduction of astigmatism and coma maximizes the signal intensity, and these aberrations appear in two distinct trials of the genetic algorithm. We compare these findings to previous work on multiple filament control and discuss the possible mechanisms that lead to signal enhancement associated with both the beam amplitude and phase profile. A broader use of wavefront control with feedback may improve the performance of FIBS in remote sensing applications.

细丝感应击穿光谱法（FIBS）是一种分析方法，对遥感技术具有重要的前景。在FIBS中，希望最大化强度并改善所选光谱特征的再现性。我们展示了在金属铜的FIBS中结合使用波前控制和遗传算法的效果，并表明该方法可以提高灯丝引起的击穿信号产生的功效。通过波前优化，当在1米的距离内执行细丝化处理时，我们将选定的铜的特征光谱特征的强度提高了大约3倍。信号强度的相对标准偏差从$〜$17％至 $〜$优化后为12％。我们发现通过引入像散和彗差对波前进行修改可以使信号强度最大化，并且这些像差出现在遗传算法的两个不同试验中。我们将这些发现与以前在多灯丝控制方面的工作进行了比较，并讨论了可能导致与光束幅度和相位分布相关的信号增强的机制。波前控制在反馈中的广泛应用可以提高FIBS在遥感应用中的性能。