A simulated annealing solution method for robust school bus routing Online publication date: Tue, 31-Jan-2017
by Saeid Samadi-Dana; Mohammad Mahdi Paydar; Javid Jouzdani
International Journal of Operational Research (IJOR), Vol. 28, No. 3, 2017
Abstract: The school bus routing problem (SBRP) deals with finding optimal bus routes for carrying students from bus stops to school. Most previous literature on SBRP are mainly focused on models in which it is tried to include as many real-life objectives and constraints as possible. However, they have not considered uncertainty in some parameters in real cases. As a modelling methodology, combined with computational tools, robust optimisation is employed to process optimisation problems in which the data are uncertain and belong to some uncertainty set. In this paper, a robust optimisation model for SBRP with uncertainty in times associated with moving from one bus stop to another is developed. In addition, a solution methodology based on simulated annealing algorithm, is presented for solving the proposed model. To evaluate the solution method and to illustrate its efficiency in real-life problems, a real-world case is studied.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Operational Research (IJOR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook