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A structural Lagrangean relaxation for two-duty period bus driver scheduling problems

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Detalhes bibliográficos
Resumo:The two-duty period bus driver scheduling problem is a particular case of the generalized set covering problem, min {cTx : Ax ⩾ b, 0 ⩽ x ⩽h and integer) where, each column of the boolean matrix A consists of at most two strings of consecutive ones. Such a denomination for the problem is due to several real life applications, in particular for bus crew scheduling. In this paper, we present a 'structural' lagrangean relaxation and penalties for improving the bounds on the optimum for the problem. Two other lagrangean relaxation approaches, previously reported in the literature, are considered too. A computational study relative to these relaxations was carried out with both randomly generated test problems and real life cases from Rodoviária Nacional, a large mass transport operator in Portugal. The results reported in the paper evidence a better performance for the lagrangean relation approach wich combined with greedy heuristics, yeld a reasonably good and fast procedure for tackling real life problems
Autores principais:Pinto, José Pinto
Outros Autores:Pato, Margarida Vaz
Assunto:Lagrangean Relaxation Heuristics Generalized Set Covering Network Flows Bus Driver Scheduling
Ano:1989
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade de Lisboa
Idioma:inglês
Origem:Repositório da Universidade de Lisboa
Descrição
Resumo:The two-duty period bus driver scheduling problem is a particular case of the generalized set covering problem, min {cTx : Ax ⩾ b, 0 ⩽ x ⩽h and integer) where, each column of the boolean matrix A consists of at most two strings of consecutive ones. Such a denomination for the problem is due to several real life applications, in particular for bus crew scheduling. In this paper, we present a 'structural' lagrangean relaxation and penalties for improving the bounds on the optimum for the problem. Two other lagrangean relaxation approaches, previously reported in the literature, are considered too. A computational study relative to these relaxations was carried out with both randomly generated test problems and real life cases from Rodoviária Nacional, a large mass transport operator in Portugal. The results reported in the paper evidence a better performance for the lagrangean relation approach wich combined with greedy heuristics, yeld a reasonably good and fast procedure for tackling real life problems