Research map / Learning theory and algorithms / Submodular and game algorithms
The Maximin Support Method: An Extension of the D’Hondt Method to Approval-Based Multiwinner Elections
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use sequential maximin support selection | Approval-based multiwinner elections · Approval-based multiwinner elections | Proportional justified representation (PJR) | Helped |
| Use sequential maximin support selection | Approval-based multiwinner elections · Approval-based multiwinner elections | House monotonicity | Helped |
| Use sequential maximin support selection | Approval-based multiwinner elections · Approval-based multiwinner elections | Weak support monotonicity | Helped |
| Use sequential maximin support selection | Approval-based multiwinner elections · Approval-based multiwinner elections | Extended justified representation (EJR) | Hurt |
| Use sequential maximin support selection | Approval-based multiwinner elections · Approval-based multiwinner elections | Strong support monotonicity with population increase | Hurt |
| Use sequential maximin support selection | Approval-based multiwinner elections · Approval-based multiwinner elections | Strong support monotonicity without population increase | Hurt |
| Use sequential maximin support selection | Approval-based multiwinner elections · Party-list elections | Agreement with D'Hondt seat allocations | Helped |
| Use sequential maximin support selection | Approval-based multiwinner elections · Approval-based multiwinner elections | Computational complexity | Helped |
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