Developing Tools for the Team Orienteering Problem - A Simple Genetic Algorithm

João Ferreira, José A. Oliveira, Guilherme A. B. Pereira, Luís Dias, Fernando Vieira, João Macedo, Tiago Carção, Tiago Leite, Daniel Murta

Abstract

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.

References

  1. Archetti, C., Hertz, A., Speranza, M. G., 2006. Metaheuristics for the team orienteering problem. In Journal of Heuristics, 13:49-76.
  2. Butt, S. E., Cavalier, T. M., 1994. A heuristic for the multiple tour maximum collection problem. In Computers and Operations Research, 21:101-111.
  3. Chao, I. M., Golden, B., Wasil, E. A., 1996. Theory and Methodology - The Team Orienteering Problem. In European Journal of Operational Research 1996a, 88, 464-474.
  4. Ke, L., Archetti, C., Feng, Z., 2008. Ants can solve the team orienteering problem. In Computers and Industrial Engineering, 54, 648-665.
  5. Souffriau, W., Vansteenwegen, P., Vanden Berghe, G., Van Oudheusden, D., 2010. A Path Relinking Approach for the Team Orienteering Problem. In Computers & Operations Research, Metaheuristics for Logistics and Vehicle Routing, 37 (11), 1853-1859.
  6. Tang, H., Miller-Hooks, E., 2005. A tabu search heuristic for the team orienteering problem. In Computers and Operations Research, 32, 1379-1407.
  7. Tasgetiren, M. F., 2002, A Genetic Algorithm with an Adaptive Penalty Function for the Orienteering Problem. Journal of Economic and Social Research, 4 (2), 1-26.
  8. Vansteewegen, P., Souffriau, W., Vanden Berghe, G., Van Oudheusden, D., 2009. A guided local search metaheuristic for the team orienteering problem. In European Journal of Operational Research, 196(1), 118-127.
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Paper Citation


in Harvard Style

Ferreira J., Oliveira J., Pereira G., Dias L., Vieira F., Macedo J., Carção T., Leite T. and Murta D. (2013). Developing Tools for the Team Orienteering Problem - A Simple Genetic Algorithm . In Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-8565-40-2, pages 134-140. DOI: 10.5220/0004273801340140


in Bibtex Style

@conference{icores13,
author={João Ferreira and José A. Oliveira and Guilherme A. B. Pereira and Luís Dias and Fernando Vieira and João Macedo and Tiago Carção and Tiago Leite and Daniel Murta},
title={Developing Tools for the Team Orienteering Problem - A Simple Genetic Algorithm},
booktitle={Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2013},
pages={134-140},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004273801340140},
isbn={978-989-8565-40-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Developing Tools for the Team Orienteering Problem - A Simple Genetic Algorithm
SN - 978-989-8565-40-2
AU - Ferreira J.
AU - Oliveira J.
AU - Pereira G.
AU - Dias L.
AU - Vieira F.
AU - Macedo J.
AU - Carção T.
AU - Leite T.
AU - Murta D.
PY - 2013
SP - 134
EP - 140
DO - 10.5220/0004273801340140