The population size (PS) sensitivity on the spread rate of COVID-19 is assessed. • Likewise, the ambient temperature (AT) sensibility is estimated. • The transmission rate of the COVID-19 has a low sensibility to the variations of AT. • The transmission rate of the COVID-19 has a high sensitivity to the variations of PS. • The PS of over 1.7 million can enhance the transmission rate of the COVID-19 disease.

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In the past few years, many studies have proved the efficiency of Simple Adaptive Control (SAC) in mitigating earthquakes’ damages to building structures. Nevertheless, the weighting matrices of this controller should be selected after a large number of sensitivity analyses. This step is time-consuming and it will not necessarily yield a controller with optimum performance. In the current study, an innovative method is introduced to tuning the SAC’s weighting matrices, which dispenses with excessive sensitivity analysis. In this regard, we try to define an optimization problem using intelligent evolutionary algorithm and utilized control indices in an objective function. The efficiency of the introduced method is investigated in 6-story building structure equipped with magnetorheological dampers under different seismic actions with and without uncertainty in the model of the proposed structure. The results indicate that the controller designed by the introduced method has a desirable performance under different conditions of uncertainty in the model. Furthermore, it improves the seismic performance of structure as compared to controllers designed through sensitivity analysis.