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

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

In this contribution, a generic two-phase stochastic variable neighborhood approach is applied to nurse rostering problems. The proposed algorithm is used for creating feasible and efficient nurse rosters for many different nurse rostering cases. In order to demonstrate the efficiency and generic ap...

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Bibliographic Details
Main Authors: Grigorios N. Beligiannis, Ioannis X. Tassopoulos, Ioannis P. Solos
Format: Article
Language:English
Published: MDPI AG 2013-05-01
Series:Algorithms
Subjects:
nurse rostering
hospital personnel scheduling
stochastic variable neighborhood
two-phase algorithm
mutation element
swap selective mutation
reduce rosters’ cost
Online Access:http://www.mdpi.com/1999-4893/6/2/278

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http://www.mdpi.com/1999-4893/6/2/278

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