Anesthesiology nurse scheduling using particle swarm optimization

Leopoldo Altamirano, María Cristina Riff, IGNACIO DANIEL ARAYA ZAMORANO, Lorraine Trilling

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

In this article we present an approach designed to solve a real world problem: the Anesthesiology Nurse Scheduling Problem (ANSP) at a public French hospital. The anesthesiology nurses are one of the most shared resources in the hospital and we attempt to find a fair/balanced schedule for them, taking into account a set of constraints and the nurses’ stated preferences, concerning the different shifts. We propose a particle swarm optimization algorithm to solve the ANSP. Finally, we compare our technique with previous results obtained using integer programming.

Original languageEnglish
Pages (from-to)111-125
Number of pages15
JournalInternational Journal of Computational Intelligence Systems
Volume5
Issue number1
DOIs
StatePublished - 1 Jan 2012

Keywords

  • Artificial Intelligence
  • Heuristic Search
  • Nurse Scheduling
  • Particle Swarm Optimization

Fingerprint Dive into the research topics of 'Anesthesiology nurse scheduling using particle swarm optimization'. Together they form a unique fingerprint.

Cite this