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Bibliographic Details
Main Author: Rodrigo Linfati
Format: Artículo científico
Language:en
Published: Universidad Nacional de Colombia 2014
Subjects:
Online Access:https://www.redalyc.org/articulo.oa?id=49631663036
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author Rodrigo Linfati
author_facet Rodrigo Linfati
contents An algorithm based on granular tabu search for the problem of balancing public bikes by using multiple vehicles Rodrigo Linfati John Willmer Escobar Bernardo Cuevas Ingeniería Routing Tabu Search Bike Sharing Problem The use of public bicycle systems has gained great importance in European countries and around the globe; this has led to the need to seek advanced techniques to help decision making. A public bicycle system consists of a set of points where you can pick up and deliver bicycles; a headquarters where a group of vehicles taking leftover bikes and transported to the points where a deficit (the demand exceeds supply) exists. One of the major problems that arise in systems of public bike is balanced, which involves sending bikes from the point where an offer (bicycles left over) to the point where there is a demand (bikes missing) occurs. The way to model this problem is with an adaptation of the vehicle routing problem with pickup and delivery (VRPPD), allowing each route make partial deliveries to customers and limiting the number of customers to visit by each route. In this paper an integer linear programming model is introduced and a metaheuristic based on granular tabu search to find a local optimum. Instances from 15 to 500 customers adapted from the literature are used. The computational results show that the proposed algorithm finds solutions in short computational time. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49631663036 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.186 Vol.81
format Artículo científico
id redalyc_49631663036
language en
publishDate 2014
publisher Universidad Nacional de Colombia
spellingShingle An algorithm based on granular tabu search for the problem of balancing public bikes by using multiple vehicles
Rodrigo Linfati
Ingeniería
Routing
Tabu Search
Bike Sharing Problem
An algorithm based on granular tabu search for the problem of balancing public bikes by using multiple vehicles Rodrigo Linfati John Willmer Escobar Bernardo Cuevas Ingeniería Routing Tabu Search Bike Sharing Problem The use of public bicycle systems has gained great importance in European countries and around the globe; this has led to the need to seek advanced techniques to help decision making. A public bicycle system consists of a set of points where you can pick up and deliver bicycles; a headquarters where a group of vehicles taking leftover bikes and transported to the points where a deficit (the demand exceeds supply) exists. One of the major problems that arise in systems of public bike is balanced, which involves sending bikes from the point where an offer (bicycles left over) to the point where there is a demand (bikes missing) occurs. The way to model this problem is with an adaptation of the vehicle routing problem with pickup and delivery (VRPPD), allowing each route make partial deliveries to customers and limiting the number of customers to visit by each route. In this paper an integer linear programming model is introduced and a metaheuristic based on granular tabu search to find a local optimum. Instances from 15 to 500 customers adapted from the literature are used. The computational results show that the proposed algorithm finds solutions in short computational time. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49631663036 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.186 Vol.81
title An algorithm based on granular tabu search for the problem of balancing public bikes by using multiple vehicles
topic Ingeniería
Routing
Tabu Search
Bike Sharing Problem
url https://www.redalyc.org/articulo.oa?id=49631663036