A multi-objective capacitated rural school bus routing problem with heterogeneous fleet and mixed loads

Fátima M. Souza Lima (), Davi S. D. Pereira (), Samuel V. Conceição () and Ricardo S. Camargo ()
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Fátima M. Souza Lima: Universidade Federal de Minas Gerais
Davi S. D. Pereira: Universidade Federal de Minas Gerais
Samuel V. Conceição: Universidade Federal de Minas Gerais
Ricardo S. Camargo: Universidade Federal de Minas Gerais

4OR, 2017, vol. 15, issue 4, No 2, 359-386

Abstract: Abstract Four multi-objective meta-heuristic algorithms are presented to solve a multi-objective capacitated rural school bus routing problem with a heterogeneous fleet and mixed loads. Three objectives are considered: the total weighted traveling time of the students, the balance of routes among drivers, and the routing costs. The proposed methods were compared with one from the literature, and their performance assessed observing three multi-objective metrics: cardinality, coverage, and hyper-volume. All four devised methods outperformed the one from the literature. The algorithm with a path relinking procedure embedded during the crowding distance selection scheme had the best overall performance.

Keywords: Capacitated rural school bus routing problem; Mixed loads; Multi-objective optimization; Multi-objective meta-heuristics; Developing countries; Decision support systems; 90B06; 90B50; 90-08 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10288-017-0340-8

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