Wednesday, 16:15 - 16:40 h, Room: H 3003A


Marco Gavanelli
Simulation and optimization for sustainable policy-making

Coauthors: Michela Milano, Fabrizio Riguzzi


Policy-making for European regions is becoming more and more challenging.
Good policies should take into account environmental
sustainability, economic factors and social acceptance of the policy.
Optimization promises to improve currently adopted, hand-made
solutions and may mean large savings for the taxpayers and lower
depletion of limited resources, given the scale of regional planning.
On the other hand, the effectiveness of a policy depends strongly on
the response of the population, which cannot be easily foreseen. In
fact, it is the emerging behavior of a complex system, for which one
can, at most, exploit a simulator. From this, one wishes to extract
mathematical relationships to be modeled as constraints.
In order to extract significant information from simulations, they
should be run a statistically significant number of times, and the
results aggregated through statistical analysis or machine learning.
We show how optimization has been applied in the regional energy plan of the Emilia-Romagna region, in Italy.
We propose an approach for the combination of simulation and
combinatorial optimization that we evaluate experimentally.


Talk 3 of the invited session Wed.3.H 3003A
"Computational sustainability" [...]
Cluster 5
"Constraint programming" [...]


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