A decision methodology for large scale systems: the case of the air quality planning
نویسنده
چکیده
The paper describes a multi-objective optimization approach to define efficient air quality control policies at regional scale. Air Quality and Cost of policy implementation are the two ingredients considered in the methodology. Both seasonal (for ozone) and yearly (for PM10) models are applied to simulate the Air Quality Index, based on Artificial Neural Networks. Results are shown at first in terms of Air Quality models performances, and then in terms of optimal policies suggestions, over a Northern Italy domain.
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