Scheduling of Multi-Function Sensor

Multifunctional passive surveillance systems must implement several functions at the same time. However, due to hardware limitations, it is not possible to fulfill all of them. In this work, we define a complex model of a multifunctional sensor using multicriteria integer nonlinear optimization and analyze non-dominated optimal solutions on simulated data. We transform the task using the scalarization
$\epsilon $
-constraint method and examine the effect of the
$\epsilon $
parameter on the feasibility. Finally, we will compare two different applications of the rolling horizon, online optimization technique, to the defined problem of a multifunctional surveillance system.