Run the optimisation to view this result.
Optimization Lab
The project involves several stakeholders, including the Municipality, Residents, Environmental Agency, and Shipping Companies, each with their own priorities and objectives. For example, the Municipality places strong emphasis on cost efficiency and safety, while the Environmental Agency focuses more on water quality.
Because each stakeholder values the design aspects differently, an individual optimization can be performed for each group to find the best combination of barrier length (L), height (H), and closure time (T) that aligns with their specific interests.
Additionally, by assigning weighted importance values to all stakeholder preferences, a combined optimization can be created. The weighted importance is determined in the Tetra page of this site. This represents the most balanced design, one that offers the best possible compromise between economic feasibility, safety, environmental quality, and operational functionality for the MOSE barrier system.
To identify the optimal configuration of the MOSE barrier, our model uses two complementary optimization approaches: the Tetra Solution and the Min–Max Solution.
Choose Weight Scenario
Select one of the stakeholder influence profiles we analysed in the notebook. The values are normalised before optimisation runs.
Normalised influence
- Municipality50.0%
- Residents25.0%
- Environmental Agency10.0%
- Shipping Companies15.0%
| Stakeholder | Initial cost (EUR) | Maintenance cost (EUR) | Sight score | Navigation accessibility | Water quality score | Residual overtopping risk |
|---|---|---|---|---|---|---|
| Municipality | 40% | 25% | 5% | 10% | 10% | 10% |
| Residents | 10% | 10% | 25% | 20% | 25% | 10% |
| Environmental Agency | 5% | 5% | 10% | 10% | 55% | 15% |
| Shipping Companies | 10% | 10% | 30% | 20% | 20% | 10% |
Recorded Optimisation Runs
Use the buttons to highlight the stored results for each paradigm. The underlying data are reproduced exactly from the notebook runs.
Select a preset and choose a paradigm to view the stored results.
Run the optimisation to view this result.
Preference Curves and Optimisation Solutions
The curves show how stakeholders score each performance aspect as the underlying metric changes. Markers highlight the latest weighted (Tetra) and Min–Max solutions so you can see where the optimisers land on each preference scale.
Run one of the optimisation scenarios to overlay its results on the preference curves.
Optimize for one stakeholder at a time
Run the GA with a single stakeholder set to 100% influence. This mirrors a sensitivity sweep where the other groups momentarily step back.
Municipality
100% influence, others at 0%
Select “Show result” to display the stored optimisation for this stakeholder.
Residents
100% influence, others at 0%
Select “Show result” to display the stored optimisation for this stakeholder.
Environmental Agency
100% influence, others at 0%
Select “Show result” to display the stored optimisation for this stakeholder.
Shipping Companies
100% influence, others at 0%
Select “Show result” to display the stored optimisation for this stakeholder.