Please use this identifier to cite or link to this item: http://www.repositorio.ufc.br/handle/riufc/21182
Title in Portuguese: A Multiobjective metaheuristic approach for the integrated vehicle and crew scheduling
Author: Prata, Bruno de Athayde
Keywords: Mass transit
Combinatorial optimization
Evolutionary algorithms
Otimização combinatória
Algoritmos
Issue Date: 2016
Publisher: Journal of Transport Literature
Citation: PRATA, B. A. (2016)
Abstract: The integrated vehicle and crew scheduling problem is a hard Combinatorial Optimization problem widely studied over the years. Taking into consideration the range of variables related to the planning process of vehicles and drivers, there are several practical characteristics of the problem that are not reflected in the solutions generated computationally. Among these characteristics, that were not found in the consulted literature, the most important is the existence of multiple objectives. This paper aims at presenting a multiobjective approach for the integrated vehicle and crew scheduling problem based on Genetic Algorithms. A case study in Portimão (Portugal) is presented and discussed. Were applied: (i) a Pareto Envelope-based Selection Algorithm II (PESA-II), and (ii) a hybridization between PESA-II and Integer Programming, which were summarized in a table. These results indicate that this new approach has a considerable potential for achieving significant gains in terms of operation costs and reduction in planning times.
Description: PRATA, B. A. A Multiobjective metaheuristic approach for the integrated vehicle and crew scheduling. Journal of Transport Literature, [S.l.], v 10, n 2, p 10-14, abr. 2016.
URI: http://www.repositorio.ufc.br/handle/riufc/21182
metadata.dc.type: Artigo de Periódico
ISSN: 2238-1031
Appears in Collections:GESLOG - Artigos publicados em revistas científicas

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