IJEEEE 2016 Vol.6(2): 137-145 ISSN: 2010-3654
doi: 10.17706/ijeeee.2016.6.2.137-145
doi: 10.17706/ijeeee.2016.6.2.137-145
Implementation of the Metaheuristic GRASP Applied to the School Bus Routing Problem
Vilson Soares de Siqueira, Fernando Jorge Ebrahim Lima e Silva, Elvis Nascimento da Silva, Raimunda Vieira Santos da Silva, Marcelo Lisboa Rocha
Abstract—The school bus problem routing (SBRP) is an important practical problem studied in
combinatorial optimization of operational research. It is formulated through a set of stops, buses, schools
and garage, where from these sets, we seek to create optimized routes to reduce the operating cost of the
service. This paper presents a solution to the SBRP, using the GRASP applied to a real problem. This
meta-heuristic is divided into two stages: the construction of a viable solution and followed by a Local
Search procedure. These two phases are repeated in each iteration. In the construction phase, a greedy and
random function is used to construct an initial solution. It is also presented compared to the widely used
heuristic and good results in the literature.
Index Terms—Combinatorial optimization, school bus, GRASP, SBRP, metaheuristic.
Vilson Soares de Siqueira is with Systems Development Department, Federal Institute of Tocantins, Brazil (email: vilsonsoares@ifto.edu.br).
Index Terms—Combinatorial optimization, school bus, GRASP, SBRP, metaheuristic.
Vilson Soares de Siqueira is with Systems Development Department, Federal Institute of Tocantins, Brazil (email: vilsonsoares@ifto.edu.br).
Cite: Vilson Soares de Siqueira, Fernando Jorge Ebrahim Lima e Silva, Elvis Nascimento da Silva, Raimunda Vieira Santos da Silva, Marcelo Lisboa Rocha, "Implementation of the Metaheuristic GRASP Applied to the School Bus Routing Problem," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 6, no. 2, pp. 137-145, 2016.
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General Information
ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
DOI: 10.17706/IJEEEE
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, INSPEC (IET)
E-mail: ijeeee@iap.org
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