We introduce a robust technique that allows generating optical solitons beams through a numerical approach of a variational approximation by using for the first time, to the best of our knowledge, the symbiotic organism search (SOS). This bio-inspired algorithm is able to optimize the design of beam parameters on-demand, such as amplitude and width, for several complex structured light beams in a plethora of nonlinear media. We report some SOS optimized optical structures such as fundamental, vortices and azimuthons optical beams for the case of Kerr, saturation and competing nonlinearities. We propagate the optimized optical beams obtained by SOS and we report that the beams show a self-trapped dynamics during their evolution. Furthermore, the nature of this algorithm allows a straightforward scalability for optimization of multiple parameters. Remarkably, this optimization can be used for different structured light beams at the same time, contrary to the most of numerical methods known.

我们引入了一种强大的技术，该技术允许通过变分近似的数值方法产生光学孤子光束，据我们所知，这是第一次使用共生生物搜索（SOS）。这种仿生算法能够针对大量非线性介质中的几个复杂结构光束按需优化光束参数的设计，例如幅度和宽度。我们报告了一些 SOS 优化的光学结构，例如 Kerr、饱和和竞争非线性的情况下的基本光束、涡旋光束和方位角光束。我们传播由 SOS 获得的优化光束，我们报告说光束在其演化过程中表现出自陷动力学。此外，该算法的性质允许用于优化多个参数的直接可扩展性。