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JACIII Vol.21 No.7 pp. 1251-1261
doi: 10.20965/jaciii.2017.p1251
(2017)

Paper:

New Approach Combining Branch and Price with Metaheuristics to Solve Nurse Scheduling Problem

Junya Inafune, Shinya Watanabe, and Masayoshi Okudera

Muroran Institute of Technology
27-1, Mizumoto-cho, Muroran 050-8585, Japan

Received:
February 20, 2017
Accepted:
August 31, 2017
Published:
November 20, 2017
Keywords:
nurse scheduling problem, branch-and-price, metaheuristics, evolutionary multi-objective optimization
Abstract

This paper presents a new approach combining Branch and Price (B&P) with metaheuristics to derive various high-quality schedules as solutions to a nurse scheduling problem (nurse rostering problem). There are two main features of our approach. The first is the combination of B&P and metaheuristics, and the second is the implementation of an efficient B&P algorithm. Through applying our approach to widely used benchmark instances, the effectiveness of our approach is determined.

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Last updated on Dec. 12, 2017