A novel fuzzy metaheuristic approach in nurse rerostering problem

被引：3

作者：

Simic, Svetlana ^{[1
]}

Corchado, Emilio ^{[2
]}

Simic, Dragan ^{[3
]}

Dordevic, Jovanka ^{[4
]}

Simic, Svetislav D. ^{[3
]}

机构：

[1] Univ Novi Sad, Fac Med, Hajduk Veljkova 1-9, Novi Sad 21000, Serbia

[2] Univ Salamanca, Dept Informat & Automat, Plaza Merced S-N, Salamanca 37008, Spain

[3] Univ Novi Sad, Fac Tech Sci, Trg Dositeja Obradovica 6, Novi Sad 21000, Serbia

[4] Oncol Inst Vojvodina, Put Doktora Goldmana 4, Sremska Kamenica 21208, Serbia

来源：

LOGIC JOURNAL OF THE IGPL | 2020年 / 28卷 / 04期

关键词：

nurse rerostering problem; fuzzy logic; ordered weighted averaging model; variable neighbourhood descent search;

D O I：

10.1093/jigpal/jzz061

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In the past 50 years nurse scheduling has received considerable attention in the research community. There are two cases regarding the nurse scheduling problem (NSP): the static and dynamic. Dynamic NSP, is often called nurse rerostering problem (NRRP), which presents reconstruction or modification of the predetermined roster for the current scheduling horizon. The aim of this paper is to present new hybrid strategy for nurse NRRP problem. The proposed methodology is based on efficient cooperation between fuzzy logic, ordered weighted averaging and variable neighbourhood descent search. Complete system is tested, and experimental results are based on real-world dataset obtained from the Oncology Institute of Vojvodina in Serbia.

引用

页码：583 / 595

页数：13

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