  In this paper we propose a dynamical transmission power allocation for
elastic optical networks (EONs) based on the evolutionary hurricane search
optimization (HSO) algorithm with a chaotic logistic map diversification
strategy with the purpose of improving the capability to escape from local
optima, namely CHSO. The aiming is the dynamical control of the transmitted
optical powers according to the each link state variations due to traffic
fluctuations, channel impairments, as well as other channel-power coupling
effects. Such realistic EON scenarios are affected mainly by the channel
estimation inaccuracy, channel ageing and power fluctuations. The link state is
based on the channel estimation and quality of transmission (QoT) parameters
obtained from the optical performance monitors (OPMs). Numerical results have
demonstrated the effectiveness of the CHSO to dynamically mitigate the power
penalty under real measurements conditions with uncertainties and noise, as
well as when perturbations in the optical transmit powers are considered.
