As part of this thesis we have a model of a random dynamic system, which
we can describe with a system of diferential equation. In it there are multiple
parameters of which the exact values we do not know or they are difficult
to determine. Still we are interested in how well the system of equations
describes the observed system, and over what range of parameter values
does the system reflect the desired dynamics.
We try to solve this problem with different metaheuristics for global op-
timization. In our case this are the grey-wolf optimization, the whale opti-
mization algorithm and particle swarm optimization. With them we try to
search a space of acceptable parameter values and try to identify the points
of regions where the system is working correctly.
|
