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Robust bi-objective optimization of uncapacitated single allocation p-hub median problem using a hybrid heuristic algorithm

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Abstract

The p-hub median problem aims at locating p-hub facilities in a network and allocating non-hub nodes to the hubs such that the overall transportation cost is minimized. One issue of major importance in this problem remarks the requirement to deal with uncertain factors such as weather conditions and traffic volume. These lead to uncertainty in travel time between origin and destination points. In today’s competitive markets in which customers look for robust delivery services, it is important to minimize the upper bound of uncertainty in the network routes. In this paper, a robust bi-objective uncapacitated single allocation p-hub median problem (RBUSApHMP) is introduced in which travel time has non-deterministic nature. The problem aims to select location of the hubs and allocation of the other nodes to them so that overall transportation cost and maximum uncertainty in network are minimized. To do this, a desirability function-based approach is suggested that ensures both interested objectives to fall within their specification limits. Due to the complexity of the model, a heuristic based on scatter search and variable neighborhood descent is developed. To evaluate the performance of the proposed method a computational analysis on Civil Aeronautics Board and Australian Post data sets was performed. The obtained results using the proposed hybrid metaheuristic are compared to those of the optimum solutions obtained using GAMS. The results indicate excellent performance of the suggested solution procedure to optimize RBUSApHMP.

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References

  1. Alumur SA, Kara BY (2008) Network hub location problems: the state of the art. Eur J Oper Res 190(1):1–21

    Article  MathSciNet  MATH  Google Scholar 

  2. Alumur SA, Nickel S, Saldanha-da-Gama F (2012) Hub location under uncertainty. Transp Res Part B 46(4):529–543

    Article  Google Scholar 

  3. Aykin T (1994) Lagrangian relaxation based approaches to capacitated hub-and-spoke network design problem. Eur J Oper Res 79:501–523

    Article  MATH  Google Scholar 

  4. Ben-Tal A, Nemirovski A (1998) Robust convex optimization. Math Oper Res 23:769–805

    Article  MathSciNet  MATH  Google Scholar 

  5. Ben-Tal A, Nemirovski A (1999) Robust solutions of uncertain linear programs. Oper Res Lett 25:1–13

    Article  MathSciNet  MATH  Google Scholar 

  6. Ben-Tal A, Nemirovski A (2000) Robust solutions of linear programming problems contaminated with uncertain data. Math Program 88:411–424

    Article  MathSciNet  MATH  Google Scholar 

  7. Bertsimas D, Sim M (2003) Robust discrete optimization and network flows. Math Program 98:49–71

    Article  MathSciNet  MATH  Google Scholar 

  8. Brimberg J, Mladenović N, Todosijević R et al (2016) General variable neighborhood search for the uncapacitated single allocation p-hub center problem. Optim Lett. doi:10.1007/s11590-016-1004-x

    MATH  Google Scholar 

  9. Campbell JF (1991) Hub location problems and the p-hub median problem. Center for Business and Industrial Studies, University of Missouri–St. Louis, St. Louis

    MATH  Google Scholar 

  10. Campbell JF (1992) Location and allocation for distribution systems with transshipments and transportation economies of scale. Ann Oper Res 40:77–99

    Article  MATH  Google Scholar 

  11. Campbell JF (1994) Integer programming formulations of discrete hub location problems. Eur J Oper Res 72:387–405

    Article  MATH  Google Scholar 

  12. Campbell JF (1996) Hub location and p-hub median problem. Oper Res 44(6):923–935

    Article  MathSciNet  MATH  Google Scholar 

  13. Campbell JF, Ernst AT, Krishnamoorthy M (2002) Hub location problems. In: Drezner Z, Hammacher H (eds) Facility location: applications and theory. Springer, Berlin

    Google Scholar 

  14. Campbell AM, Lowe TJ, Zhang L (2007) The p-hub center allocation problem. Eur J Oper Res 176(2):819–835

    Article  MathSciNet  MATH  Google Scholar 

  15. Chou CC (2010) Application of FMCDM model to selecting the hub location in the marine transportation: a case study in southeastern Asia. Math Comput Model 51:791–801

    Article  MATH  Google Scholar 

  16. Contreras I, Cordeau JF, Laporte G (2011) Stochastic uncapacitated hub location. Eur J Oper Res 212:518–528

    Article  MathSciNet  MATH  Google Scholar 

  17. Cunha CB, Silva MR (2007) A genetic algorithm for the problem of configuring a hub-and-spoke network for a LTL trucking company in Brazil. Eur J Oper Res 179:747–758

    Article  MATH  Google Scholar 

  18. Diaz JA, Fernandez E (2006) Hybrid scatter search and path relinking for the capacitated p-median problem. Eur J Oper Res 169:570–585

    Article  MathSciNet  MATH  Google Scholar 

  19. Ebery J (2001) Solving large single allocation p-hub problems with two or three hubs. Eur J Oper Res 128:447–458

    Article  MATH  Google Scholar 

  20. Elhedhli S, Hu FX (2005) Hub-and-spoke network design with congestion. Comput Oper Res 32:1615–1632

    Article  MATH  Google Scholar 

  21. Ernst AT, Hamacher H, Jiang H, Krishnamoorthy M, Woeginger G (2009) Uncapacitated single and multiple allocation p-hub center problems. Comput Oper Res 36:2230–2241

    Article  MathSciNet  MATH  Google Scholar 

  22. Ernst A, Hamacher H, Jiang H, Krishnamoorthy M, Woeginger G (2002) Uncapacitated single and multiple allocation \( p \)-hub center problems. Unpublished Report, CSIRO Mathematical and Information Sciences, Australia

  23. Ernst AT, Krishnamoorthy M (1996) Efficient algorithms for the uncapacitated single allocation p-hub median problem. Locat Sci 4:139–154

    Article  MATH  Google Scholar 

  24. Garfinkel RS, Sundararaghavan PS, Noon C, Smith DR (1996) Optimal use of hub facilities: a two-hub model with fixed arc costs. Top 4:331–343

    Article  MathSciNet  MATH  Google Scholar 

  25. Geyik F, Dosdoğru AT (2013) Process plan and part routing optimization in a dynamic flexible job shop scheduling environment: an optimization via simulation approach. Neural Comput Appl 23:1631–1641

    Article  Google Scholar 

  26. Ge W, Zhu J-F (2012) Research on robust optimization model of capacitated hub-and-spoke network design problem. Adv Inf Sci Serv Sci 4(13):379–386

    Google Scholar 

  27. Ghaffari-nasab N, Ghazangari M, Teimouri E (2015) Robust optimization approach to the design of hub-and-spoke networks. Int J Adv Manuf Technol 76:1091–1110

    Article  Google Scholar 

  28. Ghaoui LE, Lebret H (1997) Robust solutions to least-squares problems with uncertain data. SIAM J Matrix Anal Appl 18:1035–1064

    Article  MathSciNet  MATH  Google Scholar 

  29. Glover F (1977) Heuristics for integer programming using surrogate constraints. Decis Sci 8:156–166

    Article  Google Scholar 

  30. Hamacher HW, Meyer T (2006) Hub cover and hub center problems. Working paper. Department of Mathematics, University of Kaiserslautern, Gottlieb-Daimler-Strasse, 67663 Kaiserslautern

  31. Hwang HY, Lee HY (2012) Uncapacitated single allocation p-hub maximal covering problem. Comput Ind Eng 63(2):382–389

    Article  Google Scholar 

  32. Ilić A, Urošević D, Brimberg J, Mladenovic N (2010) A general variable neighborhood search for solving the uncapacitated single allocation p-hub median problem. Eur J Oper Res 206:289–300

    Article  MathSciNet  MATH  Google Scholar 

  33. Junior GDM, Chamargo RSD, Pinto LR, Conceic SV, Ferreira RPM (2011) Hub location under hub congestion and demand uncertainty: the Brazilian study. Pesqui Oper 31:319–349

    Article  Google Scholar 

  34. Jun Z, Yu-An T, Xue-Lan Z, Jun L (2010) An improved dynamic structure-based neural networks determination approaches to simulation optimization problems. Neural Comput Appl 19:883–901

    Article  Google Scholar 

  35. Kara BY, Tansel BC (2000) On the single assignment p-hub center problem. Eur J Oper Res 125(3):648–655

    Article  MATH  Google Scholar 

  36. Kara BY, Tansel BC (2001) The latest arrival hub location problem. Manag Sci 47:1408–1420

    Article  MATH  Google Scholar 

  37. Kara BY, Tansel BC (2003) The single-assignment hub covering problem: models and linearizations. J Oper Res Soc 54(1):59–64

    Article  MATH  Google Scholar 

  38. Karimi H, Bashiri M (2011) Hub covering location problems with different coverage types. Sci Iran 18(6):1571–1578

    Article  Google Scholar 

  39. Kim KJ, Lin DKJ (2006) Optimization of multiple responses considering both location and dispersion effects. Eur J Oper Res 169:133–145

    Article  MathSciNet  MATH  Google Scholar 

  40. Köksalan M, Soylu B (2010) Bicriteria p-Hub location problems and evolutionary algorithms. INFORMS J Comput 22:528–542

    Article  MathSciNet  MATH  Google Scholar 

  41. Kratica J (2013) An electromagnetism-like metaheuristic for the uncapacitated multiple allocation p-hub median problem. Comput Ind Eng 66:1015–1024

    Article  Google Scholar 

  42. Love RF, Morris JG, Wesolowsky G (1996) Facility location: models and methods. Publications in Operations Research, New York

    Google Scholar 

  43. Laguna M, Marti R (2003) Scatter search: methodology and implementations in C. Kluwer, Boston

    Book  MATH  Google Scholar 

  44. Marianov V, Serra D (2003) Location models for airline hubs behaving as M/D/c queues. Comput Oper Res 30:983–1003

    Article  MATH  Google Scholar 

  45. Marti R, Corberan Á, Perio J (2015) Scatter search for an uncapacitated p-hub median problem. Comput Oper Res 58:53–66

    Article  MathSciNet  MATH  Google Scholar 

  46. Meyer T, Ernst AT, Krishnamoorthy M (2009) A 2-phase algorithm for solving the single allocation p-hub center problem. Comput Oper Res 36:3143–3151

    Article  MATH  Google Scholar 

  47. Mohammadi M, Jolai F, Rostami H (2011) An M/M/c queue model for hub covering location problem. Math Comput Model 54:2623–2638

    Article  MathSciNet  MATH  Google Scholar 

  48. O’Kelly ME (1987) A quadratic integer program for the location of interacting hub facilities. Eur J Oper Res 32:393–404

    Article  MathSciNet  MATH  Google Scholar 

  49. O’Kelly ME (1992) Hub facility location with fixed costs. Pap Reg Sci 71:292–306

    Google Scholar 

  50. Peiro J, Corberan Á, Marti R (2014) GRASP for the uncapacitated r-allocation p-hub median problem. Comput Oper Res 43:50–60

    Article  MathSciNet  MATH  Google Scholar 

  51. Peker M, Kara BY (2015) The P-Hub maximal covering problem and extensions for gradual decay functions. Omega 54:158–172

    Article  Google Scholar 

  52. Sadeghi M, Jolai F, Tavakkoli-Moghaddam R, Rahimi Y (2015) A new stochastic approach for a reliable p-hub covering location problem. Comput Ind Eng 90:371–380

    Article  Google Scholar 

  53. Salmasnia A, Bashiri M, Salehi M (2013) A robust interactive approach to optimize correlated multiple responses. Int J Adv Manuf Technol 67:1923–1935

    Article  Google Scholar 

  54. Salmasnia A, Bashiri M (2015) A new desirability function-based method for correlated multiple response optimization. Int J Adv Manuf Technol 76:1047–1062

    Article  Google Scholar 

  55. Sender J, Clausen U (2013) Heuristics for solving a capacitated multiple allocation hub location problem with application in German wagonload traffic. Electron Notes Discrete Math 41:13–20

    Article  Google Scholar 

  56. Silva MR, Cunha CB (2009) New simple and efficient heuristics for the uncapacitated single allocation hub location problem. Comput Oper Res 36:3152–3165

    Article  MATH  Google Scholar 

  57. Sim T, Lowe TJ, Thomas BW (2009) The stochastic p-hub center problem with service-level constraints. Comput Oper Res 36:3166–3177

    Article  MATH  Google Scholar 

  58. Soyster AL (1973) Convex programming with set-inclusive constraints and applications to inexact linear programming. Oper Res 21:1154–1157

    Article  MathSciNet  MATH  Google Scholar 

  59. Staojevic P, Marić M, Stanimirovic Z (2015) A hybridization of an evolutionary algorithm and a parallel branch and bound for solving the capacitated single allocation hub location problem. Appl Soft Comput 33:24–36

    Article  Google Scholar 

  60. Talbi EG (2009) Metaheuristics from design to implementation. Wiley, Hoboken

    MATH  Google Scholar 

  61. Topcuoglu H, Corut F, Ermis M, Yilmaz G (2005) Solving the uncapacitated hub location using genetic algorithms. Comput Oper Res 32:467–984

    Article  MATH  Google Scholar 

  62. Wagner B (2004) Model formulations for hub covering problems. Working paper, Institute of Operations Research, Darmstadt University of Technology, Hochschulstrasse 1, 64289 Darmstadt

  63. Wolf S, Merz P (2007) Evolutionary local search for the super-peer selection problem and the p-hub median problem. In: Bartz-Beielstein et al. (eds) Proceedings of the 4th international workshop on hybrid metaheuristics—HM2007, Lecture Notes in Computer Science, Springer, Berlin, pp 1–15

  64. Yaman H, Elloumi S (2012) Star p-hub center problem and star p-hub median problem with bounded path lengths. Comput Oper Res 39(11):2725–2732

    Article  MathSciNet  MATH  Google Scholar 

  65. Yang K, Liu Y, Yang G (2014) Optimizing fuzzy p-hub center problem with generalized value-at-risk criterion. Appl Math Model 38:3987–4005

    Article  MathSciNet  Google Scholar 

  66. Yang K, Liu Y-K, Yang G-Q (2013) Solving fuzzy p-hub center problem by genetic algorithm incorporating local search. Appl Soft Comput 13:2624–2632

    Article  Google Scholar 

  67. Yang TH (2009) Stochastic air freight hub location and flight routes planning. Appl Math Model 33:4424–4430

    Article  MATH  Google Scholar 

  68. Zanjirani Farahani R, Hekmatfar H, Boloori Arabani A, Nikbakhsh E (2013) Hub location problems: a review of models, classification, solution techniques, and applications. Comput Ind Eng 64(4):1096–1109

    Article  Google Scholar 

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Correspondence to Ali Salmasnia.

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Amin-Naseri, M.R., Yazdekhasti, A. & Salmasnia, A. Robust bi-objective optimization of uncapacitated single allocation p-hub median problem using a hybrid heuristic algorithm. Neural Comput & Applic 29, 511–532 (2018). https://doi.org/10.1007/s00521-016-2520-4

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