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A hybrid metaheuristic for the Bus Driver Rostering Problem
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Orientador(es)
Resumo(s)
This paper presents a new decomposition model for the Bus Driver Rostering Problem and proposes the hybridization
of column generation and genetic algorithms to achieve good quality rosters in short time. The decomposition model is
based on the definition of a subproblem for each driver, which is responsible for the creation of valid work-schedules for
the rostering period. Column generation is used to obtain an optimal linear solution. This solution and the subproblems'
solutions obtained during the column generation are then used by the genetic algorithm to find good quality
combinations of drivers' schedules, i.e. good quality rosters. Computational tests show the efficiency and effectiveness
of the proposed approach.
Descrição
Comunicação apresentada 2nd International Conference on Operations Research and Enterprise Systems, 16-18 fevereiro 2013, Barcelona, Espanha
Palavras-chave
Column generation Genetic algorithms Hybrid metaheuristic Rostering