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  • 标题:A Strategy to Improve Performance of Genetic Algorithm for Nurse Scheduling Problem
  • 本地全文:下载
  • 作者:Sun-Jeong Kim ; Young-Woong Ko ; Saangyong Uhmn
  • 期刊名称:International Journal of Software Engineering and Its Applications
  • 印刷版ISSN:1738-9984
  • 出版年度:2014
  • 卷号:8
  • 期号:1
  • 页码:53-62
  • DOI:10.14257/ijseia.2014.8.1.05
  • 出版社:SERSC
  • 摘要:We applied genetic algorithm to nurse scheduling problem. For time complexity problem of genetic algorithm, we suggested efficient operators using a cost bit matrix of which each cell indicates any violation of constraints. A cell with 1 indicates that the corresponding assignment violates constraints and needs no further consideration. The experimental results showed that the suggested method generated a nurse scheduling faster in time and better in quality compared to the traditional genetic algorithm.
  • 关键词:nurse scheduling problem (NSP); genetic algorithm; cost bit matrix
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