Variable Neighborhood Search for Nurse Rostering Problems

Author(s):  
Edmund Burke ◽  
Patrick De Causmaecker ◽  
Sanja Petrovic ◽  
Greet Vanden Berghe
2012 ◽  
Vol 218 (1) ◽  
pp. 185-199 ◽  
Author(s):  
Federico Della Croce ◽  
Fabio Salassa

Author(s):  
Mohammed Abdelghany ◽  
Zakaria Yahia ◽  
Amr B. Eltawil

The nurse rostering problem refers to the assignment of nurses to daily shifts according to the required demand of each shift and day, with consideration for the operational requirements and nurses’ preferences. This problem is known to be an NP-hard problem, difficult to be solved using the known exact solution methods especially for large size instances. Mostly, this problem is modeled with soft and hard constraint, and the objective is set to minimize the violations for the soft constraints. In this paper, a new two-stage variable neighborhood search algorithm is proposed for solving the nurse rostering problem. The first stage aims at minimizing the violations of the soft constraints with the higher penalty weights in the objective function. While the second stage considers minimizing the total solution penalty taking into account all the soft constraint. The proposed algorithm was tested using 24 benchmark instances. The test results revealed that the proposed algorithm is able to compete the results of a recent heuristic approach from literature for most of the tested instances.


2021 ◽  
pp. 105362
Author(s):  
Xiangjing Lai ◽  
Jin-Kao Hao ◽  
Zhang-Hua Fu ◽  
Dong Yue

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