A Generic Two-Phase Stochastic Variable Neighborhood Approach for Effectively Solving the Nurse Rostering Problem

Solos, I., Tassopoulos, I., & Beligiannis, G. (2013). A Generic Two-Phase Stochastic Variable Neighborhood Approach for Effectively Solving the Nurse Rostering Problem. Algorithms.

Type

Journal article

Intellectual base

Primary research

Year

2013

DOI

10.3390/a6020278

DOI registrant

MDPI AG

Link

https://doi.org/10.3390/a6020278

Cited by

1 citation across 1 artifact.

Domain-specific

• Nurse scheduling problem
  • The identity is the rostering structure rather than clinical care, hard and soft constraints must be distinguished, feasibility can precede optimization and local labor rules materially change instances.

Verification

Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.

Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.

Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.

See how references were verified.

Registry ID ref:3ce22380dc77 · see in the full table