Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/26213

TitleDeveloping tools for the team orienteering problem: a simple genetic algorithm
Author(s)Ferreira, João Amaro Oliveira
Oliveira, José A.
Pereira, Guilherme
Dias, Luís M. S.
Vieira, Fernando
Macedo, João
Carção, Tiago
Leite, Tiago
Murta, Daniel R.
KeywordsRouting problems
Team Orienteering Problem
Optimization
Metaheuristics
Genetic algorithm
Issue date16-Feb-2013
PublisherSCITEPRESS – Science and Technology Publications
Abstract(s)Presently, the large-scale collection process of selective waste is typically expensive, with low efficiency and moderate effectiveness. Despite the abundance of commercially available software for fleet management, real life managers are only minimally helped by it when dealing with resource and budgetary requirements, scheduling activities, and acquiring resources for their accomplishment within the constraints imposed on them. To overcome these issues, we intend to develop a solution that optimizes the waste collection process by modelling this problem as a vehicle routing problem, in particular as a Team Orienteering Problem (TOP). In the TOP, a vehicle fleet is assigned to visit a set customers, while executing optimized routes that maximize total profit and minimize resources needed. In this work, we propose to solve the TOP using a genetic algorithm, in order to achieve challenging results in comparison to previous work around this subject of study. Our objective is to develop and evaluate a software application that implements a genetic algorithm to solve the TOP. We were able to accomplish the proposed task and achieved interesting results with the computational tests by attaining the best known results in half of the tested instances.
TypeConference paper
URIhttp://hdl.handle.net/1822/26213
ISBN978-989-8565-40-2
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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