The proposed adaptive power control based on the chaotic hurricane search optimization (A-CHSO) for elastic optical networks (EON)s dynamically and efficiently adjusts the power increasing (r₀) parameter taking into account the quality of transmission (QoT), which is measured by the optical performance monitors (OPM)s. For sake of comparison, three alternative power assignment methods are analyzed, the analytical gradient descent (GD), as well as two low-complexity methods, namely the egoistic power allocation (EPA) and the enough power allocation (EnPA). Numerical results demonstrate a promising performance-complexity trade-off for the A-CHSO regarding the GD, EPA and EnPA methods, as well as a substantial network margin reduction, energy efficiency increasing, and cost reduction. The A-CHSO has been proved to be an efficient power allocation (PA) method for operation in EONs, corroborating the dynamical and flexible aspects of the EONs.

针对弹性光网络（EON）提出的基于混沌飓风搜索优化（A-CHSO）的自适应功率控制可动态有效地调整功率增加（r ₀）参数，并考虑到传输质量（QoT），该质量由光学性能监视器（OPM）进行测量。为了进行比较，分析了三种替代的功率分配方法，即分析梯度下降法（GD），以及两种低复杂度的方法，即自利功率分配（EPA）和足够功率分配（EnPA）。数值结果表明，就GD，EPA和EnPA方法而言，A-CHSO的性能-复杂性折衷方案颇为可取，而且网络边际成本大幅降低，能源效率提高，成本降低。事实证明，A-CHSO是在EON上运行的有效功率分配（PA）方法，证实了EON的动态和灵活方面。