Decomposition-based optimization separating provincial subproblems from regional coordination for large-scale school planning¶

Strategy · All strategies
Evidence · no claims cited

Description¶

To improve scalability on large regional instances, the article introduces a decomposition-based optimization strategy. As printed, "a decomposition-based optimization strategy is introduced to improve scalability for large-scale regional planning instances, separating provincial aggregation subproblems from the regional coordination phase." This exploits the regulatory requirement that aggregations remain within provincial borders, letting provincial subproblems be solved before regional coordination.

Design Implications¶

Context¶

Requirements¶

• Aggregation decisions restricted within provincial borders, enabling independent provincial subproblems

Constraints¶

• Developed for the Italian institutional structure in which provinces bound feasible aggregations

Target Learners¶

• school-age students across a whole region

Target Learning Goals¶

• efficient regional allocation of educational resources while maintaining accessibility

Related Strategies¶

• Differentiated enrollment thresholds for school autonomy based on territorial fragility

Examples¶

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Key Sources¶

• Alessia Ciacco, Luigi Di Puglia Pugliese, Francesca Guerriero. (2026). School network reorganization under educational and spatial constraints using classical and quantum optimization. https://arxiv.org/abs/2608.05427