A generic two-phase stochastic variable neighborhood approach for effectively solving the nurse rostering problem

DOI10.3390/a6020278zbMath1461.90194OpenAlexW2014029878MaRDI QIDQ1736555

Ioannis P. Solos, Grigorios N. Beligiannis, Ioannis X. Tassopoulos

Publication date: 26 March 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a6020278

zbMATH Keywords

costnurse rosteringhospital personnel schedulingtwo-phase algorithmmutation elementreduce Rostersstochastic variable neighborhoodswap selective mutation

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (7)

A two-phase adaptive variable neighborhood approach for nurse rostering ⋮ A hybrid integer and constraint programming approach to solve nurse rostering problems ⋮ Genetic based discrete particle swarm optimization for elderly day care center timetabling ⋮ A hyper-heuristic approach based upon a hidden Markov model for the multi-stage nurse rostering problem ⋮ Simulated annealing approach to nurse rostering benchmark and real-world instances ⋮ The second international nurse rostering competition ⋮ A hybrid variable neighbourhood search and dynamic programming approach for the nurse rostering problem

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