Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/1429
Título: Solving a Bi-objective Nurse Rerostering Problem by Using a Utopic Pareto Genetic Heuristic
Autor: Pato, Margarida Vaz
Moz, Margarida
Palavras-chave: nurse scheduling
bi-objective heuristics
genetic algorithms
Data: 2006
Editora: Centro de Investigação Operacional - Universidade de Lisboa
Citação: Pato, Margarida Vaz e Margarida Moz. 2006. "Solving a Bi-objective Nurse Rerostering Problem by Using a Utopic Pareto Genetic Heuristic". Universidade de Lisboa - Centro de Investigação Operacional – CIO Working paper nº 8/2006
Relatório da Série N.º: CIO Working paper;8/2006
Resumo: Nurse rerostering arises when at least one nurse announces that she will be unable to undertake the tasks previously assigned to her. The problem amounts to building a new roster that satisfies the hard constraints already met by the current one and, as much as possible, fulfils two groups of soft constraints which define the two objectives to be attained. A bi-objective genetic heuristic was designed on the basis of a population of individuals characterised by pairs of chromosomes, whose fitness complies with the Pareto ranking of the respective decoded solution. It includes an elitist policy, as well as a new utopic strategy, introduced for purposes of diversification. The computational experiments produced promising results for the practical application of this approach to real life instances arising from a public hospital in Lisbon.
URI: http://hdl.handle.net/10400.5/1429
Aparece nas colecções:DM - Documentos de trabalho / Working Papers

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