Advertisement

An Ant Colony System Metaheuristic Applied to a Cooperative of Recyclable Materials of Sorocaba: A Case Study

  • Gregory Tonin Santos
  • Luiza Amalia Pinto CantãoEmail author
  • Renato Fernandes Cantão
Chapter
Part of the Urban Computing book series (UC)

Abstract

In the last decade, selective waste collection and the posterior reinsertion of the recycled materials into the productive chain have become not only an important economic activity but also essential for the reduction of the environmental impacts associated with landfills. The collection step of the recycling process is, in essence, a transportation operation, with costs directly coupled with those of fuel. Thus, fuel consumption reduction can increase profit margins with a pleasant side effect of reducing greenhouse gas emissions. In this scenario, Green Vehicle Routing Problems (GVRP) are instrumental as enablers of more economic routes in the sense of fuel consumption. Metaheuristics are a valuable tool to deal with GVRP problems due to its NP-hardness nature.

Notes

Acknowledgements

To Fundação de Amparo a Pesquisa do Estado de São Paulo (FAPESP), process number 2016/12488-6 for funding this research and CORESO recycling cooperative for their trust and support.

References

  1. 1.
    ANP – Agência Nacional do Petróleo, Gás Natural e Biocombustíveis: Sistema de levantamento de preços (2017). http://anp.gov.br/preco/prc/Resumo_Por_Municipio_Index.asp. Accessed 25 May 2017
  2. 2.
    Arenales, M.N., Armentano, V., Morabito, R., Yanasse, H.: Pesquisa Operacional. Elsevier, Rio de Janeiro (2007)Google Scholar
  3. 3.
    Bell, J.E., McMullen, P.R.: Ant colony optimization techniques for the vehicle routing problem. Adv. Eng. Inf. 18(1), 41–48 (2004)CrossRefGoogle Scholar
  4. 4.
    Brasil: Lei n. 12.305, dispõe sobre a política nacional de resíduos sólidos. Diário Oficial da República Federativa do Brasil (2010). http://planalto.gov.br/ccivil_03/_ato2007-2010/2010/lei/ll2305.htm. Accessed 05 Jul 2017
  5. 5.
    Bullnheimer, B., Hartl, R.F., Strauss, C.: Applying the ant system to the vehicle routing problem. In: de Recherche en Informatique et Automatique, I.N., 1525 LPCU (eds.) 2nd International Conference on Metaheuristics – MIC97 (1997)Google Scholar
  6. 6.
    Christofides, N., Mingozzi, A., Toth, P.: The vehicle routing problems. In: Christofides, N., Mingozzi, A., Toth, P., Sandi, C. (eds.) Combinatorial Optimizations. Wiley, New York (1979)Google Scholar
  7. 7.
    Ćirović, G., Pamučar, D., Božanić, D.: Green logistic vehicle routing problem: routing light delivery vehicles in urban areas using a neuro-fuzzy model. Expert Syst. Appl. 41(9), 4245–4258 (2014)CrossRefGoogle Scholar
  8. 8.
    Colorni, A., Dorigo, M., Maniezzo, V.: Distributed optimization by ant colonies. In: Varela, F.J., Bourgine, P. (eds.) Proceeding of the First European Conference on Artificial Life, pp. 134–142. Elsevier Publishing, Cambrige (1992)Google Scholar
  9. 9.
    Dalboni, F.L.: Algoritmos evolutivos eficientes para um problema de roteamento de veículos. PhD thesis, Federal University Fluminense (2003)Google Scholar
  10. 10.
    DATAGEO – Infraestrutura de dados espaciais ambientais do Estado de São Paulo: Base territorial ambiental unificada (2017). http://datageo.ambiente.sp.gov.br. Accessed 05 Jul 2017
  11. 11.
    De la Cruz, J.J., Paternina-Arboleda, C.D., Cantillo, V., Montoya-Torres, J.R.: A two-pheromone trail ant colony system—tabu search approach for the heterogeneous vehicle routing problem with time windows and multiple products. J. Heuristics 19(2), 233–252 (2013)CrossRefGoogle Scholar
  12. 12.
    Demir, E., Bektaş, T., Laporte, G.: The bi-objective pollution-routing problem. Eur. J. Oper. Res. 232(3), 464–478 (2014)MathSciNetCrossRefGoogle Scholar
  13. 13.
    Demir, E., Bektaş, T., Laporte, G.: A review of recent research on green road freight transportation. Eur. J. Oper. Res. 237(3), 775–793 (2014)CrossRefGoogle Scholar
  14. 14.
    Dorigo, M., Gambardella, L.M.: Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans. Evol. Comput. 1(1), 53–66 (1997)CrossRefGoogle Scholar
  15. 15.
    Elhedhli, S., Merrick, R.: Green supply chain network design to reduce carbon emissions. Transp. Res. D Transp. Environ. 17(5), 370–379 (2012)CrossRefGoogle Scholar
  16. 16.
    Gambardella, L.M., Taillard, E., Agazzi, G.: MACS-VRPTW: a multiple ant colony system for vehicle routing problems with time windows. Technical report, Istituto Dalle Molle Di Studi Sull Intelligenza Artificiale (1999)Google Scholar
  17. 17.
    Gambardella, L.M., Rizzoli, A.E., Oliverio, F., Casagrande, N., Donati, A.V., Montemanni, R., Lucibello, E.: Ant colony optimization for vehicle routing in advanced logistics systems. In: Proceedings of the International Workshop on Modelling and Applied Simulation, pp. 3–9 (2003)Google Scholar
  18. 18.
    Gomes, A.: Uma introduça ao à busca tabu. Departamento de Ciência da Computação, Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo (2009). http://www.ime.usp.br/~gold/cursos/2009/mac5758/AndreBuscaTabu.pdf. Acessado em 20 Jun 2017
  19. 19.
    Governo do Estado de São Paulo: Município verdeazul (2017). http://www.ambiente.sp.gov.br/municipioverdeazul/o-projeto/. Accessed 05 Jul 2017
  20. 20.
    Hartung, G.E.: Distâncias entre dois pontos – UCA (2011). http://portaldoprofessor.mec.gov.br /fichaTecnicaAula.html?pagina=espac%2Fvisualizar_aula&aula=30254&secao=request_loca le=es. Acessado em 12 Aug 2015Google Scholar
  21. 21.
    IBGE – Instituto Brasileiro de Geografia e Estatística: Estimativas populacionais para os municípios brasileiros em 01.07.2011 (2017). http://downloads.ibge.gov.br/downloads_estatisticas.htm?caminho=/Estimativas_de_Populacao/Estimativas_2001/. Accessed 05 Jul 2017
  22. 22.
    IBGE – Instituto Brasileiro de Geografia e Estatística: Estimativas populacionais para os municípios e para as unidades da federação brasileiros em 01.07.2016 (2017). http://www.ibge.gov.br/home/estatistica/populacao/estimativa2016/estimativa_dou.shtm. Accessed 05 Jul 2017
  23. 23.
    INMETRO – Instituto Nacional de Metrologia Qualidade e Tecnologia: Programa brasileiro de etiquetagem - PBE (2016). http://www.inmetro.gov.br/consumidor/pbe/veiculos_leves_2016.pdf. Accessed 20 Jun 2017
  24. 24.
    Kim, B.I., Kim, S., Sahoo, S.: Waste collection vehicle routing problem with time windows. Comput. Oper. Res. 33(12), 3624–3642 (2006). Part Special Issue: Recent Algorithmic Advances for Arc Routing ProblemsGoogle Scholar
  25. 25.
    Koç, Ç., Karaoglan, I.: The green vehicle routing problem: a heuristic based exact solution approach. Appl. Soft Comput. 39, 154–164 (2016)CrossRefGoogle Scholar
  26. 26.
    Laporte, G.: The vehicle routing problem: an overview of exact and approximate algorithms. Eur. J. Oper. Res. 59(3), 345–358 (1992)MathSciNetCrossRefGoogle Scholar
  27. 27.
    Lin, C., Choy, K., Ho, G., Chung, S., Lam, H.: Survey of green vehicle routing problem: past and future trends. Expert Syst. Appl. 41(4, Part 1), 1118–1138 (2014)CrossRefGoogle Scholar
  28. 28.
    Lopes, H.S., de Abreu Rodrigues, L.C., Steiner, M.T.A. (eds.): Meta-Heurísticas em Pesquisa Operacional, 1st edn. Omnipax, Curitiba, PR, chap Otimização por Colônia de Formigas (2013)Google Scholar
  29. 29.
    Mazzeo, S., Loiseau, I.: An ant colony algorithm for the capacitated vehicle routing. Electron. Notes Discrete Math. 18, 181–186 (2004). Latin-American Conference on Combinatorics, Graphs and ApplicationsGoogle Scholar
  30. 30.
    Miura, M.: Resolução de um problema de roteamento de veículos em uma empresa transportadora. Trabalho de Conclusão de Curso. Escola Politécnica da Universidade de São Paulo, São Paulo (2003)Google Scholar
  31. 31.
    MMA – Ministério do Meio ambiente: Catadores de materiais recicláveis (2017). http://www.mma.gov.br/cidades-sustentaveis/residuos-solidos/catadores-de-materiais-reciclaveis. Accessed 20 Jun 2017
  32. 32.
    MMA – Ministério do Meio ambiente: Mudança do clima (2017). http://www.mma.gov.br/clima/convencao-das-acoesunidas/protocolo-de-quiotos. Accessed 20 Jun 2017
  33. 33.
    MMA – Ministério do Meio Ambiente: Reciclagem (2017). http://www.mma.gov.br/informma/item/7656-reciclagem. Accessed 20 Jun 2017
  34. 34.
    MME – Ministério de Minas e Energia: Resenha energética brasileira do exercício 2014 (2014)Google Scholar
  35. 35.
    Montoya, A., Guéret, C., Mendoza, J.E., Villegas, J.G.: A multi-space sampling heuristic for the green vehicle routing problem. Transp. Res. C Emerg. Technol. 70, 113–128 (2016)CrossRefGoogle Scholar
  36. 36.
    PUC-Rio – Pontifícia Universidade Católica do Rio de Janeiro: Capacitated vehicle routing problem library—CVRPLIB (2017). http://vrp.atd-lab.inf.puc-rio.br/index.php/en/. Accessed 20 Jun 2017
  37. 37.
    Qian, J., Eglese, R.: Fuel emissions optimization in vehicle routing problems with time-varying speeds. Eur. J. Oper. Res. 248(3), 840–848 (2016)MathSciNetCrossRefGoogle Scholar
  38. 38.
    Santos, G.T., Cantão, L.A.P, Cantão, R.F.: Vehicle routing problem with fuel consuption minimization: a case study. In: Maturana, S. (ed.) Prodeedings of the XVIII Latin-Iberoamerican Conference on Operations Research, CLAIO 2016, pp. 802–809 (2016). ISBN: 978-956-9892-00-4Google Scholar
  39. 39.
    Solomon, M.M.: Algorithms for the vehicle routing and scheduling problems with time window constraints. Oper. Res. 35(2), 254–265 (1987)MathSciNetCrossRefGoogle Scholar
  40. 40.
    Souza, M.T.S.d., Paula, M.B.d., Souza-Pinto, H.d.: O papel das cooperativas de reciclagem nos canais reversos pós-consumo. Rev. Adm. Empresas 52, 246–262 (2012)CrossRefGoogle Scholar
  41. 41.
    Tiwari, A., Chang, P.C.: A block recombination approach to solve green vehicle routing problem. Int. J. Prod. Econ. 164, 379–387 (2015)CrossRefGoogle Scholar
  42. 42.
    Toth, P., Vigo, D.: The Vehicle Routing Problem. Society for Industrial and Applied Mathematics (2002). http://epubs.siam.org/doi/pdf/10.1137/1.9780898718515
  43. 43.
    Xiao, Y., Zhao, Q., Kaku, I., Xu, Y.: Development of a fuel consumption optimization model for the capacitated vehicle routing problem. Comput. Oper. Res. 39(7), 1419–1431 (2012)MathSciNetCrossRefGoogle Scholar
  44. 44.
    Zhang, S., Lee, C., Choy, K., Ho, W., Ip, W.: Design and development of a hybrid artificial bee colony algorithm for the environmental vehicle routing problem. Transp. Res. D Transp. Environ. 31, 85–99 (2014)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Gregory Tonin Santos
    • 1
  • Luiza Amalia Pinto Cantão
    • 1
    Email author
  • Renato Fernandes Cantão
    • 2
  1. 1.São Paulo State University – UNESPSão PauloBrazil
  2. 2.Federal University of São Carlos – UFSCarSão CarlosBrazil

Personalised recommendations