How to cite this paper
Torres, J., Paloma, D., Gatica, G., Álvarez-Martínez, D & Escobar, J. (2024). A hybrid matheuristic approach for the integrated location routing problem of the pineapple supply chain.Decision Science Letters , 13(2), 483-498.
Refrences
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Bernal, J., Escobar, J. W., Paz, J. C., Linfati, R., & Gatica, G. (2018). A probabilistic granular tabu search for the distance constrained capacitated vehicle routing problem. International Journal of Industrial and Systems Engineering, 29(4), 453-477.
Bortfeldt, A., & Homberger, J. (2013). Packing first, routing second—a heuristic for the vehicle routing and loading problem. Computers and Operations Research, 40(3), 873-885.
Christofides, N., Mingozzi, A., Toth, P., Sandi, C. (1979). The vehicle routing problem, Combinatorial Optimization. Wiley, Chichester, pp. 315– 338.
Cordeau, J. F., Gendreau, M., & Laporte, G. (1997). A tabu search heuristic for periodic and multi‐depot vehicle routing problems. Networks: An International Journal, 30(2), 105-119.
Cordeau, J. F., & Laporte, G. (2005). Tabu search heuristics for the vehicle routing problem (pp. 145-163). Springer US.
Escobar, J. W., Linfati, R., & Toth, P. (2013). A two-phase hybrid heuristic algorithm for the capacitated location-routing problem. Computers Operations Research, 40(1), 70-79.
Escobar, J. W., Linfati, R., Toth, P., & Baldoquin, M. G. (2014). A hybrid granular tabu search algorithm for the multi-depot vehicle routing problem. Journal of Heuristics, 20(5), 483-509.
Food and Agriculture Organization (1976), A framework for land evaluation, Soils Bulletin 52, Rome, Italy. FAO, S590.
Franco, C.,& Barona, G. (2019). Retos de ingeniería para la producción de piña de alta calidad en el valle del Cauca: el caso de bengala agrícola. Revista de Ingeniería, 47, 50-59.
Gendreau, M., Hertz, A., & Laporte, G. (1994). A tabu search heuristic for the vehicle routing problem. Management Science, 40(10), 1276-1290.
Gomez, C. H., Alvarez, D., Saavedra, S., Uribe, R. (2019). Cartama, el método al servicio de la calidad. Revista de Ingenieria, 47, 20-31.
Groër, C., Golden, B., & Wasil, E. (2011). A parallel algorithm for the vehicle routing problem. INFORMS Journal on Computing, 23(2), 315-330.
Helsgaun, K. (2000). An effective implementation of the Lin–Kernighan traveling salesman heuristic. European Journal of Operational Research, 126(1), 106-130.
Irnich, S., Toth, P., & Vigo, D. (2014). Chapter 1: The family of vehicle routing problems. In Vehicle Routing: Problems, Methods, and Applications, Second Edition (pp. 1-33). Society for Industrial and Applied Mathematics.
Jin, J., Crainic, T. G., & Løkketangen, A. (2012). A parallel multi-neighborhood cooperative tabu search for capacitated vehicle routing problems. European Journal of Operational Research, 222(3), 441-451.
Jin, J., Crainic, T. G., & Løkketangen, A. (2014). A cooperative parallel metaheuristic for the capacitated vehicle routing problem. Computers Operations Research, 44, 33-41.
Kirchler, D., Calvo, R. W. (2013). A granular tabu search algorithm for the dial-a-ride problem. Transportation Research Part B: Methodological, 56, 120-135.
Li, F., Golden, B., & Wasil, E. (2005). Very large-scale vehicle routing: new test problems, algorithms, and results. Computers & Operations Research, 32(5), 1165-1179.
Mester, D., & Bräysy, O. (2005). Active guided evolution strategies for large-scale vehicle routing problems with time windows. Computers & Operations Research, 32(6), 1593-1614.
Medaglia, A. L., Villegas, J. G., & Rodríguez-Coca, D. M. (2009). Hybrid biobjective evolutionary algorithms for the design of a hospital waste management network. Journal of Heuristics, 15, 153-176.
Ministerio de Agricultura y Desarrollo Rural (2017). Anuario Estadístico del Sector Agropecuario [Online] http://bibliotecadigital.agronet.gov.co/handle/11438/8628, Access: 10/18/2023.
Ministerio de Transporte Colombia (2018). Sistemas de Información de Costos Eficientes para el Transporte Automotor de Carga (SICE-TAC). https://www.mintransporte.gov.co/publicaciones/4462/sice-tac/, access: 18/07/2018.
Montero, M., & Cerdas, M., (2005). Guías técnicas del manejo postcosecha para el mercado fresco (Piña), [Online] https://www.mag.go.cr/bibliotecavirtual/J11-8874.pdf, access: 10/18/2023.
Nagata, Y., & Bräysy, O. (2009). Edge assembly‐based memetic algorithm for the capacitated vehicle routing problem. Networks: An International Journal, 54(4), 205-215.
Pecin, D., Pessoa, A., Poggi, M., & Uchoa, E. (2017). Improved branch- cut-and-price for capacitated vehicle routing. Mathematical Programming Computation, 9(1), 61-100.
Prins, C., Prodhon, C., Ruiz, A., Soriano, P., & Wolfler Calvo, R. (2007). Solving the capacitated location-routing problem by a cooperative Lagrangean relaxation-granular tabu search heuristic. Transportation Science, 41(4), 470-483.
Rochat, Y., & Taillard, E. D. (1995). Probabilistic diversification and intensification in local search for vehicle routing. Journal of Heuristics, 1(1), 147-167.
Taillard, E. (1993). Parallel iterative search methods for vehicle routing problems. Networks, 23(8), 661-673.
Tarantilis, C. D., & Kiranoudis, C. T. (2002). BoneRoute: An adaptive memory-based method for effective fleet management. Annals of operations Research, 115, 227-241.
Toth, P., & Vigo, D. (2003). The granular tabu search and its application to the vehicle-routing problem. Informs Journal on Computing, 15(4), 333- 346.
Toklu, N. E., Gambardella, L. M., & Montemanni, R. (2014). A multiple ant colony system for a vehicle routing problem with time windows and uncertain travel times. Journal of Traffic and Logistics Engineering, 2(1).
Tridge (2018), Pineapple, [Online] https://www.tridge.com/products/pineapple, Access: 10/18/2023.
Uchoa, E., Pecin, D., Pessoa, A., Poggi, M., Vidal, T., Subramanian, A. (2017). New benchmark instances for the capacitated vehicle routing problem. European Journal of Operational Research, 257(3), 845-858.
Unidad de Planificación Rural Agropecuaria (UPRA) (2016). Cultivo comercial de papa – Identificación de zonas aptas en Colombia. Escala 1:100.000. http://bibliotecadigital.agronet.gov.co/handle/11438/8630, access: 20/09/2018.
Unidad de Planificacion Rural Agropecuaria (UPRA) (2017). Zonificación de aptitud para el cultivo comercial de pin en Colombia. [Online] https://sigra.upra.gov.co/, access: 10/18/2023.
Unión Temporal (2013). Sistema de Información Geográfica Municipal 2013, [Online] http://bibliotecadigital.agronet.gov.co/bitstream/11348/3709/2/SIG-ACTUALIZACION_GIGANTE_HUILA.pdf, access: 10/18/2023.
Vidal, T., Crainic, T. G., Gendreau, M., Lahrichi, N., & Rei, W. (2012). A hybrid genetic algorithm for multidepot and periodic vehicle routing problems. Operations Research, 60(3), 611-624.
Bernal, J., Escobar, J. W., Paz, J. C., Linfati, R., & Gatica, G. (2018). A probabilistic granular tabu search for the distance constrained capacitated vehicle routing problem. International Journal of Industrial and Systems Engineering, 29(4), 453-477.
Bortfeldt, A., & Homberger, J. (2013). Packing first, routing second—a heuristic for the vehicle routing and loading problem. Computers and Operations Research, 40(3), 873-885.
Christofides, N., Mingozzi, A., Toth, P., Sandi, C. (1979). The vehicle routing problem, Combinatorial Optimization. Wiley, Chichester, pp. 315– 338.
Cordeau, J. F., Gendreau, M., & Laporte, G. (1997). A tabu search heuristic for periodic and multi‐depot vehicle routing problems. Networks: An International Journal, 30(2), 105-119.
Cordeau, J. F., & Laporte, G. (2005). Tabu search heuristics for the vehicle routing problem (pp. 145-163). Springer US.
Escobar, J. W., Linfati, R., & Toth, P. (2013). A two-phase hybrid heuristic algorithm for the capacitated location-routing problem. Computers Operations Research, 40(1), 70-79.
Escobar, J. W., Linfati, R., Toth, P., & Baldoquin, M. G. (2014). A hybrid granular tabu search algorithm for the multi-depot vehicle routing problem. Journal of Heuristics, 20(5), 483-509.
Food and Agriculture Organization (1976), A framework for land evaluation, Soils Bulletin 52, Rome, Italy. FAO, S590.
Franco, C.,& Barona, G. (2019). Retos de ingeniería para la producción de piña de alta calidad en el valle del Cauca: el caso de bengala agrícola. Revista de Ingeniería, 47, 50-59.
Gendreau, M., Hertz, A., & Laporte, G. (1994). A tabu search heuristic for the vehicle routing problem. Management Science, 40(10), 1276-1290.
Gomez, C. H., Alvarez, D., Saavedra, S., Uribe, R. (2019). Cartama, el método al servicio de la calidad. Revista de Ingenieria, 47, 20-31.
Groër, C., Golden, B., & Wasil, E. (2011). A parallel algorithm for the vehicle routing problem. INFORMS Journal on Computing, 23(2), 315-330.
Helsgaun, K. (2000). An effective implementation of the Lin–Kernighan traveling salesman heuristic. European Journal of Operational Research, 126(1), 106-130.
Irnich, S., Toth, P., & Vigo, D. (2014). Chapter 1: The family of vehicle routing problems. In Vehicle Routing: Problems, Methods, and Applications, Second Edition (pp. 1-33). Society for Industrial and Applied Mathematics.
Jin, J., Crainic, T. G., & Løkketangen, A. (2012). A parallel multi-neighborhood cooperative tabu search for capacitated vehicle routing problems. European Journal of Operational Research, 222(3), 441-451.
Jin, J., Crainic, T. G., & Løkketangen, A. (2014). A cooperative parallel metaheuristic for the capacitated vehicle routing problem. Computers Operations Research, 44, 33-41.
Kirchler, D., Calvo, R. W. (2013). A granular tabu search algorithm for the dial-a-ride problem. Transportation Research Part B: Methodological, 56, 120-135.
Li, F., Golden, B., & Wasil, E. (2005). Very large-scale vehicle routing: new test problems, algorithms, and results. Computers & Operations Research, 32(5), 1165-1179.
Mester, D., & Bräysy, O. (2005). Active guided evolution strategies for large-scale vehicle routing problems with time windows. Computers & Operations Research, 32(6), 1593-1614.
Medaglia, A. L., Villegas, J. G., & Rodríguez-Coca, D. M. (2009). Hybrid biobjective evolutionary algorithms for the design of a hospital waste management network. Journal of Heuristics, 15, 153-176.
Ministerio de Agricultura y Desarrollo Rural (2017). Anuario Estadístico del Sector Agropecuario [Online] http://bibliotecadigital.agronet.gov.co/handle/11438/8628, Access: 10/18/2023.
Ministerio de Transporte Colombia (2018). Sistemas de Información de Costos Eficientes para el Transporte Automotor de Carga (SICE-TAC). https://www.mintransporte.gov.co/publicaciones/4462/sice-tac/, access: 18/07/2018.
Montero, M., & Cerdas, M., (2005). Guías técnicas del manejo postcosecha para el mercado fresco (Piña), [Online] https://www.mag.go.cr/bibliotecavirtual/J11-8874.pdf, access: 10/18/2023.
Nagata, Y., & Bräysy, O. (2009). Edge assembly‐based memetic algorithm for the capacitated vehicle routing problem. Networks: An International Journal, 54(4), 205-215.
Pecin, D., Pessoa, A., Poggi, M., & Uchoa, E. (2017). Improved branch- cut-and-price for capacitated vehicle routing. Mathematical Programming Computation, 9(1), 61-100.
Prins, C., Prodhon, C., Ruiz, A., Soriano, P., & Wolfler Calvo, R. (2007). Solving the capacitated location-routing problem by a cooperative Lagrangean relaxation-granular tabu search heuristic. Transportation Science, 41(4), 470-483.
Rochat, Y., & Taillard, E. D. (1995). Probabilistic diversification and intensification in local search for vehicle routing. Journal of Heuristics, 1(1), 147-167.
Taillard, E. (1993). Parallel iterative search methods for vehicle routing problems. Networks, 23(8), 661-673.
Tarantilis, C. D., & Kiranoudis, C. T. (2002). BoneRoute: An adaptive memory-based method for effective fleet management. Annals of operations Research, 115, 227-241.
Toth, P., & Vigo, D. (2003). The granular tabu search and its application to the vehicle-routing problem. Informs Journal on Computing, 15(4), 333- 346.
Toklu, N. E., Gambardella, L. M., & Montemanni, R. (2014). A multiple ant colony system for a vehicle routing problem with time windows and uncertain travel times. Journal of Traffic and Logistics Engineering, 2(1).
Tridge (2018), Pineapple, [Online] https://www.tridge.com/products/pineapple, Access: 10/18/2023.
Uchoa, E., Pecin, D., Pessoa, A., Poggi, M., Vidal, T., Subramanian, A. (2017). New benchmark instances for the capacitated vehicle routing problem. European Journal of Operational Research, 257(3), 845-858.
Unidad de Planificación Rural Agropecuaria (UPRA) (2016). Cultivo comercial de papa – Identificación de zonas aptas en Colombia. Escala 1:100.000. http://bibliotecadigital.agronet.gov.co/handle/11438/8630, access: 20/09/2018.
Unidad de Planificacion Rural Agropecuaria (UPRA) (2017). Zonificación de aptitud para el cultivo comercial de pin en Colombia. [Online] https://sigra.upra.gov.co/, access: 10/18/2023.
Unión Temporal (2013). Sistema de Información Geográfica Municipal 2013, [Online] http://bibliotecadigital.agronet.gov.co/bitstream/11348/3709/2/SIG-ACTUALIZACION_GIGANTE_HUILA.pdf, access: 10/18/2023.
Vidal, T., Crainic, T. G., Gendreau, M., Lahrichi, N., & Rei, W. (2012). A hybrid genetic algorithm for multidepot and periodic vehicle routing problems. Operations Research, 60(3), 611-624.