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  • This paper is focused on a Nurse Rerostering Problem (NRRP) that is tackled every day in hospitals in case of some unpredicted circumstances (e.g. sick leaves of the nurses). Consequently, it is necessary to move the shift of the absent nurse to someone else in the roster. However, NRRP cannot be usually solved by the same methods used for another well known Nurse Rostering Problem (NRP), since each change of the original roster may lead to collisions with the nurses' already planned free-time activities. Therefore, the main objective is to solve NRRP respecting the minimum changes in the original roster.
  • This paper is focused on a Nurse Rerostering Problem (NRRP) that is tackled every day in hospitals in case of some unpredicted circumstances (e.g. sick leaves of the nurses). Consequently, it is necessary to move the shift of the absent nurse to someone else in the roster. However, NRRP cannot be usually solved by the same methods used for another well known Nurse Rostering Problem (NRP), since each change of the original roster may lead to collisions with the nurses' already planned free-time activities. Therefore, the main objective is to solve NRRP respecting the minimum changes in the original roster. (en)
Title
  • A Genetic Algorithm for a Nurse Rerostering Problem
  • A Genetic Algorithm for a Nurse Rerostering Problem (en)
skos:prefLabel
  • A Genetic Algorithm for a Nurse Rerostering Problem
  • A Genetic Algorithm for a Nurse Rerostering Problem (en)
skos:notation
  • RIV/68407700:21230/11:00181910!RIV12-MSM-21230___
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  • RIV/68407700:21230/11:00181910
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  • nurse rerostering problem; employee timetabling; genetic algorithm; multiobjective criterion (en)
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  • [EAD02B9A7169]
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  • Bäumelt, Zdeněk
  • Hanzálek, Zdeněk
  • Šůcha, Přemysl
http://localhost/t...ganizacniJednotka
  • 21230
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