# Facility Location on Facility Location egalitarian Source: [Facility Location on Facility Location egalitarian]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:39:46.592Z Evaluation of approximation algorithms for the Facility Location problem on the 'egalitarian' instance set, focusing on theoretical guarantees such as consistency, robustness, and approximation ratio. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Facility Location | | Dataset (including any stated split) | Facility Location egalitarian | | Metric | Consistency | | Unit | SCALAR | | Direction | Higher is better | | Results loaded | 1 of 1 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Consistency](): Higher is better; unit: SCALAR. - [Robustness](): Higher is better; unit: SCALAR. - [Approximation Ratio](): Lower is better; unit: SCALAR. ## Recorded results | Method | Consistency | Result date | Report paper | | --- | --- | --- | --- | | Mechanism of Agrawal et al. | 1 | Not recorded | 68fa756f1e209131cea67e2a | ### Mechanism of Agrawal et al. Consistency: 1. Result ID: 6993a3713a6c3148491776da. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.