Un algoritmo memético para el problema de localización ruteo con ventanas de tiempo para la atención de desastres sísmicos: un caso de estudio de Bucaramanga, Colombia

dc.creatorLamos Díaz, Henry
dc.creatorAguilar Imitola, Karin
dc.creatorBarreto Robles, Melissa Andrea
dc.creatorNiño Niño, Paula Nathalia
dc.creatorMartínez Quezada, Daniel Orlando
dc.date2019-02-12T22:24:07Z
dc.date2019-02-12T22:24:07Z
dc.date2018-01-01
dc.date.accessioned2023-10-03T19:14:26Z
dc.date.available2023-10-03T19:14:26Z
dc.identifierH. Lamos Díaz, K. Aguilar Imitola, M. A. Barreto Robles, P. N. Niño Niño & D. O. Martínez Quezada, “A memetic algorithm for locationrouting problem with time windows for the attention of seismic disasters: a case study from Bucaramanga, Colombia,” INGE CUC, vol. 14, no. 1, pp. 75-86, 2018. DOI: http://doi.org/10.17981/ingecuc.14.1.2018.7
dc.identifierhttp://hdl.handle.net/11323/2428
dc.identifierhttps://doi.org/10.17981/ingecuc.14.1.2018.7
dc.identifier10.17981/ingecuc.14.1.2018.7
dc.identifier2382-4700
dc.identifierCorporación Universidad de la Costa
dc.identifier0122-6517
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9169176
dc.descriptionIntroduction− In recent years, a great part of the population has been affected by natural and man-caused disasters. Hence, evacua-tion planning has an important role in the reduction of the number of victims during a natural disaster. Objective−In order to contribute to current studies of operations research in disaster management, this paper addresses evacuation planning of urban areas by using buses to pick up affected people after an earthquake.Methodology−The situation is modeled using Location-Routing Problem with Time Windows (LRPTW) to locate emergency shelters and identify evacuation routes that meet attention time constraints. To solve the LRPTW problem, a memetic algorithm (MA) is de-signed to minimize the total response time during an evacuation. The algorithm is not only validated using instances of literature, but also with the assessment of a case study of a seismic event in Bucaramanga, Colombia.Results and conclusions− The main contribution of this article is the development of a memetic algorithm for the solution of the proposed model that allows to solve real-size instances. The hybrid initialization of the MA prevents an early convergence by combin-ing randomness and a heuristic technique. Computational results indicate that the MA is a viable approach for the LRPTW solution. Likewise, a case study is presented for the city of Bucaramanga in order to validate the proposed model. Two scenarios are simulated showing that the management of the time windows (homogeneous or random) directly influences the solution and affects the objec-tive function. From a practical perspective, the location-routing problem must consider other criteria such as the cost of evacua-tion, including the attention delay cost, and the cost of opening shelters and routing.
dc.descriptionIntroducción− En años recientes gran parte de la población ha sido afectada por desastres tanto naturales como antrópicos. Por esto, la planificación de la evacuación juega un papel importante en la reduc-ción del número de víctimas ante un desastre natural. Objetivo− Con el propósito de contribuir a los estudios actuales desde la investigación de operaciones en gestión de desastres, esta inves-tigación aborda la planificación de la evacuación de áreas urbanas usando buses para recoger afectados.Metodología− El problema se modela mediante un problema de localización-ruteo con ventanas de tiempo (LRPTW) para determinar el número y la ubicación de los albergues las y rutas de recolección para evacuación, cumpliendo restricciones en tiempo de atención. Para solucionar el LRPTW, se diseña un algoritmo memético (MA) que minimiza el tiempo total de respuesta en la evacuación. El algo-ritmo es validado en instancias de la literatura y mediante un caso de estudio de un evento sísmico en Bucaramanga (Colombia).Resultados y conclusiones− La contribución principal de este ar-tículo es el desarrollo de un MA para solucionar el modelo propuesto, que permite resolver instancias de tamaño real. La inicialización híbrida del MA evita una convergencia temprana, combinando alea-toriedad con una técnica heurística. Los resultados computacionales indican que el MA es un enfoque viable para solucionar el LRPTW. Así mismo, se presenta un caso de estudio en Bucaramanga para validar el modelo propuesto. Se plantean dos escenarios de desastre, evidenciando que el tratamiento que se da a las ventanas de tiempo (homogénea o aleatoria) influye directamente en la solución y afec-ta la función objetivo. Desde un enfoque práctico, el problema debe considerar otros criterios que pueden influir en la planificación de la evacuación, como el costo de la evacuación, costo de la demora en la atención, costo de apertura y de ruteo.
dc.format12 páginas
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherCorporación Universidad de la Costa
dc.relationINGE CUC; Vol. 14. Núm. 1 (2018)
dc.relationINGE CUC
dc.relationINGE CUC
dc.relation[1] EM-DAT The International Disaster Database, "Centre for Research on the Epidemiology of Disasters-CRED." [Online]. Available: http://www.emdat.be/.
dc.relation[2] J. Holguín-Veras, M. Jaller, L. N. Van Wassenhove, N. Pérez, and T. Wachtendorf, "On the unique features of post-disaster humanitarian logistics," J. Oper. Manag., vol. 30, no. 7–8, pp. 494–506, 2012. https://doi.org/10.1016/j.jom.2012.08.003
dc.relation[3] FEMA, "Guide for All-Hazard Emergency Operations Planning," 1996.
dc.relation[4] N. Altay and W. G. Green, "OR/MS research in disaster operations management," Eur. J. Oper. Res., vol. 175, no. 1, pp. 475–493, 2006.https://doi.org/10.1016/j.ejor.2005.05.016
dc.relation[5] A. M. Anaya-Arenas, J. Renaud, and A. Ruiz, "Relief distribution networks: a systematic review," Ann. Oper. Res., no. April, pp. 53–79, 2014.https://doi.org/10.1007/s10479-014-1581-y
dc.relation[6] G. Galindo and R. Batta, "Review of recent developments in OR/MS research in disaster operations management," Eur. J. Oper. Res., vol. 230, no. 2, pp. 201–211, 2013.https://doi.org/10.1016/j.ejor.2013.01.039
dc.relation[7] G. Kovács and K. M. Spens, "Humanitarian logistics in disaster relief operations," Int. J. Phys. Distrib. Logist. Manag., vol. 37, no. 2, pp. 99–114, 2007.https://doi.org/10.1108/09600030710734820
dc.relation[8] N. C. Simpson and P. G. Hancock, "Fifty Years of Operational Research and Emergency Response," J. Oper. Res. Soc., vol. 60, pp. s126–s139, 2009.https://doi.org/10.1057/jors.2009.3
dc.relation[9] L. E. De la Torre, I. S. Dolinskaya, and K. R. Smilowitz, "Disaster relief routing: Integrating research and practice," Socioecon. Plann. Sci., vol. 46, no. 1, pp. 88–97, 2012.https://doi.org/10.1016/j.seps.2011.06.001
dc.relation[10] A. M. Caunhye, X. Nie, and S. Pokharel, "Optimization models in emergency logistics: A literature review," Socioecon. Plann. Sci., vol. 46, no. 1, pp. 4–13, 2012.https://doi.org/10.1016/j.seps.2011.04.004
dc.relation[11] T. YAMADA, "A network flow approach to a city emergency evacuation planning," Int. J. Syst. Sci., vol. 27, no. 10, pp. 931–936, Oct. 1996.https://doi.org/10.1080/00207729608929296
dc.relation[12] Q. Lu, B. George, and S. Shekhar, "Capacity Constrained Routing Algorithms for Evacuation Planning: A Summary of Results," Springer, Berlin, Heidelberg, 2005, pp. 291–307.
dc.relation[13] Y.-C. Chiu, H. Zheng, J. Villalobos, and B. Gautam, "Modeling no-notice mass evacuation using a dynamic traffic flow optimization model," IIE Trans., vol. 39, no. 1, pp. 83–94, Jan. 2007. https://doi.org/10.1080/07408170600946473
dc.relation[14] F. Sayyady and S. D. Eksioglu, "Optimizing the use of public transit system during no-notice evacuation of urban areas," Comput. Ind. Eng., vol. 59, no. 4, pp. 488–495, Nov. 2010. https://doi.org/10.1016/j.cie.2010.06.001
dc.relation[15] D. R. Bish, "Planning for a bus-based evacuation," OR Spectr., vol. 33, no. 3, pp. 629–654, 2011.https://doi.org/10.1007/s00291-011-0256-1
dc.relation[16] M. Goerigk, B. Grün, and P. Heßler, "Branch and bound algorithms for the bus evacuation problem," Comput. Oper. Res., vol. 40, no. 12, pp. 3010–3020, 2013.https://doi.org/10.1016/j.cor.2013.07.006
dc.relation[17] D. R. Bish, H. D. Sherali, and A. G. Hobeika, "Optimal evacuation planning using staging and routing," J. Oper. Res. Soc., vol. 65, no. 1, pp. 124–140, 2014. https://doi.org/10.1057/jors.2013.3
dc.relation[18] M. Goerigk and B. Grün, "A robust bus evacuation model with delayed scenario information," OR Spectr., vol. 36, no. 4, pp. 923–948, Oct. 2014. https://doi.org/10.1007/s00291-014-0365-8
dc.relation[19] M. Goerigk, B. Grün, and P. Heßler, "Combining bus evacuation with location decisions: A branch-and-price approach," Transp. Res. Procedia, vol. 2, pp. 783–791, 2014. https://doi.org/10.1016/j.trpro.2014.09.088
dc.relation[20] S. Salhi and G. K. Rand, "The effect of ignoring routes when locating depots," Eur. J. Oper. Res., vol. 39, no. 2, pp. 150–156, Mar. 1989. https://doi.org/10.1016/0377-2217(89)90188-4
dc.relation[21] M. Drexl and M. Schneider, "A Survey of the Standard Location-Routing Problem," 2014.
dc.relation[22] H. Min, V. Jayaraman, and R. Srivastava, "Combined location- routing problems: A synthesis and future research directions," Eur. J. Oper. Res., vol. 108, no. 1, pp. 1–15, 1998. https://doi.org/10.1016/S0377-2217(97)00172-0
dc.relation[23] G. Nagy and S. Salhi, "Location-routing: Issues, models and methods," Eur. J. Oper. Res., vol. 177, no. 2, pp. 649–672, Mar. 2007.https://doi.org/10.1016/j.ejor.2006.04.004
dc.relation[24] C. Prodhon and C. Prins, "A survey of recent research on location-routing problems," Eur. J. Oper. Res., vol. 238, no. 1, pp. 1–17, Oct. 2014. https://doi.org/10.1016/j.ejor.2014.01.005
dc.relation[25] K. Govindan, a. Jafarian, R. Khodaverdi, and K. Devika, "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," Int. J. Prod. Econ., vol. 152, pp. 9–28, Jun. 2014. https://doi.org/10.1016/j.ijpe.2013.12.028
dc.relation[26] A. Ceselli, G. Righini, and E. Tresoldi, "Combined location and routing problems for drug distribution," Discret. Appl. Math., vol. 165, pp. 130–145, Mar. 2014. https://doi.org/10.1016/j.dam.2013.07.016
dc.relation[27] R. Caballero, M. González, F. M. Guerrero, J. Molina, and C. Paralera, "Solving a multiobjective location routing problem with a metaheuristic based on tabu search. Application to a real case in Andalusia," Eur. J. Oper. Res., vol. 177, no. 3, pp. 1751–1763, Mar. 2007. https://doi.org/10.1016/j.ejor.2005.10.017
dc.relation[28] S. Alumur and B. Y. Kara, "A new model for the hazardous waste location-routing problem," Comput. Oper. Res., vol. 34, no. 5, pp. 1406–1423, 2007. https://doi.org/10.1016/j.cor.2005.06.012
dc.relation[29] J. Ahn, O. de Weck, Y. Geng, and D. Klabjan, "Column generation based heuristics for a generalized location routing problem with profits arising in space exploration," Eur. J. Oper. Res., vol. 223, no. 1, pp. 47–59, Nov. 2012. https://doi.org/10.1016/j.ejor.2012.06.018
dc.relation[30] W. Yi and L. Özdamar, "A dynamic logistics coordination model for evacuation and support in disaster response activities," Eur. J. Oper. Res., vol. 179, no. 3, pp. 1177–1193, Jun. 2007. https://doi.org/10.1016/j.ejor.2005.03.077
dc.relation[31] S. Li and H. Zhou, "Optimization model of fuzzy location routing problem of victim search in flood disaster," J. Chem. Pharm. Res., vol. 6, no. 6, pp. 2080–2085, 2014.
dc.relation[32] A. Pramudita, E. Taniguchi, and A. Qureshi, "Location and Routing Problems of Debris Collection Operation after Disasters with Realistic Case Study," Procedia - Soc. Behav. Sci., vol. 125, pp. 1–15, 2014. https://doi.org/10.1016/j.sbspro.2014.01.1487
dc.relation[33] S. V. Ukkusuri and W. F. Yushimito, "Location Routing Approach for the Humanitarian Prepositioning Problem," Transp. Res. Rec. J. Transp. Res. Board, vol. 2089, no. 1, pp. 18–25, 2009. https://doi.org/10.3141/2089-03
dc.relation[34] R. Tavakkoli-Moghaddam, a. Makui, and Z. Mazloomi, "A new integrated mathematical model for a bi-objective multi-depot location-routing problem solved by a multiobjective scatter search algorithm," J. Manuf. Syst., vol. 29, no. 2–3, pp. 111–119, 2010. https://doi.org/10.1016/j.jmsy.2010.11.005
dc.relation[35] Z. Mingang, C. Zengshou, and W. Xiaoyan, "Research on location-routing problem of relief system based on emergency logistics," in Industrial Engineering and Engineering Management, 2009. IE&EM'09. 16th International Conference on, 2009, pp. 228–232. https://doi.org/10.1109/ICIEEM.2009.5344599
dc.relation[36] S. Li, Z. Ma, and B. Zheng, "Dynamic multi-objective location- routing problem in post-earthquake logistics system," J. Chem. Pharm. Res., vol. 6, no. 6, pp. 1515–1520, 2014.
dc.relation[37] S. Hua-li, W. Xun-qing, and X. Yao-feng, "A Bi-level Programming Model for a Multi-facility Location-Routing Problem in Urban Emergency System," in Engineering Education and Management, Springer Berlin Heidelberg, 2012, pp. 75–80.
dc.relation[38] L. Alçada-Almeida, L. Tralhão, L. Santos, and J. Coutinho- Rodrigues, "A multiobjective approach to locate emergency shelters and identify evacuation routes in urban areas," Geogr. Anal., vol. 41, no. 1, pp. 9–29, 2009. https://doi.org/10.1111/j.1538-4632.2009.00745.x
dc.relation[39] J. Coutinho-Rodrigues, L. Tralhão, and L. Alçada-Almeida, "Solving a location-routing problem with a multiobjective approach: the design of urban evacuation plans," J. Transp. …, vol. 22, pp. 206–218, May 2012. https://doi.org/10.1016/j.jtrangeo.2012.01.006
dc.relation[40] M. Goerigk, K. Deghdak, and P. Heßler, "A comprehensive evacuation planning model and genetic solution algorithm," Transp. Res. Part E Logist. Transp. Rev., vol. 71, pp. 82–97, 2014.
dc.relation[41] E. Nikbakhsh and S. H. Zegordi, "A Heuristic Algorithm and a Lower Bound for the Two-Echelon Location-Routing Problem with Soft Time Window Constraints," vol. 17, no. 1, pp. 36–47, 2010.
dc.relation[42] H. I. Gündüz, "The Single-Stage Location-Routing Problem with Time Windows," pp. 44–58, 2011. https://doi.org/10.1007/978-3-642-24264-9_4
dc.relation[43] M. H. Fazel Zarandi, A. Hemmati, S. Davari, and I. Burhan Turksen, "Capacitated location-routing problem with time windows under uncertainty," Knowledge-Based Syst., vol. 37, pp. 480–489, Jan. 2013. https://doi.org/10.1016/j.knosys.2012.09.007
dc.relation[44] R. SONG, S. HE, and L. ZHANG, "Optimum Transit Operations during the Emergency Evacuations," J. Transp. Syst. Eng. Inf. Technol., vol. 9, no. 6, pp. 154–160, Dec. 2009. https://doi.org/10.1016/S1570-6672(08)60096-3
dc.relation[45] L. Zhu, D. Hu, X. Wei, and X. Chen, "Solving the LRPTW Based on Tabu Search Algorithm," in ICLEM 2014, 2014, pp. 904–909.
dc.relation[46] I. Karaoglan and F. Altiparmak, "A memetic algorithm for the capacitated location-routing problem with mixed backhauls," Comput. Oper. Res., vol. 55, pp. 200–216, 2014. https://doi.org/10.1016/j.cor.2014.06.009
dc.relation[47] C. Prodhon, "Le Problème de Localisation-Routage,"2006.
dc.relation[48] C. E. Coral-Gomez, "La convergencia de placas en el noroccidente Suramenricao y el origen del nido de bucaramanga," Rev. Acad. Colomb. Ciencias Exactas, Flsicas y Nat., vol. 17, no. 66, pp. 521–529, 1990.
dc.relation[49] A. Barrera Navarro and A. Gomez Hernandez, "Un algoritmo evolutivo para el problema de distribución de recursos post-desastres sísmicos en la ciudad de Bucaramanga.," Universidad Industrial de Santander, 2016.
dc.relation[50] E. Maldonado and G. Chio, "Identificación de las zonas sísmicas más vulnerables en la ciudad de Bucaramanga," UIS Ing., vol. 4, no. 2, pp. 99–116, 2005.
dc.relation86
dc.relation75
dc.relation1
dc.relation14
dc.relationINGE CUC
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourceINGE CUC
dc.sourcehttps://revistascientificas.cuc.edu.co/ingecuc/article/view/1720
dc.subjectHumanitarian logistics
dc.subjectLogística humanitaria
dc.subjectEvacuación
dc.subjectTerremoto
dc.subjectProblema de localización-ruteo
dc.subjectVentanas de tiempo
dc.subjectAlgoritmo memético
dc.subjectEvacuation
dc.subjectEarthquake
dc.subjectLocation-routing problem (LRP)
dc.subjectTime windows
dc.subjectMemetic algorithm
dc.titleA memetic algorithm for location-routing problem with time windows for the attention of seismic disasters a case study from Bucaramanga, Colombia
dc.titleUn algoritmo memético para el problema de localización ruteo con ventanas de tiempo para la atención de desastres sísmicos: un caso de estudio de Bucaramanga, Colombia
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


Este ítem pertenece a la siguiente institución