English, Article, Journal or magazine article edition: A Comparison and Hybridization of Crossover Operators for the Nurse Scheduling Problem B. MAENHOUT; M. VANHOUCKE

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Bookmark: http://trove.nla.gov.au/version/15358
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • A Comparison and Hybridization of Crossover Operators for the Nurse Scheduling Problem
Author
  • B. MAENHOUT
  • M. VANHOUCKE
Physical Description
  • preprint
Notes
  • In this paper, we present a hybrid genetic algorithm for the well-known nurse scheduling problem (NSP). The NSP involves the construction of roster schedules for nursing staff in order to maximize the quality of the roster schedule and to minimize the violations of the minimal coverage requirements subject to various hard case-specific constraints. In literature, several genetic algorithms have been proposed in literature to solve the NSP under various assumptions. The contribution of this paper is twofold. First, we extensively compare the various crossover operators and test them on a standard dataset in a solitary approach. Second, we propose several options to hybridize the various crossover operators.
  • meta-heuristics; hybridization; nurse scheduling
  • RePEc:rug:rugwps:06/​366
Language
  • English
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