Publication Cover
Transportation Letters
The International Journal of Transportation Research
Volume 11, 2019 - Issue 1
613
Views
27
CrossRef citations to date
0
Altmetric
Research Paper

Fuzzy capacitated location-routing problem with simultaneous pickup and delivery demands

&

References

  • Alfredo Tang Montané, F., and R. D. Galvão. 2006. “A Tabu Search Algorithm for the Vehicle Routing Problem with Simultaneous Pick-up and Delivery Service.” Computers & Operations Research 33 (3): 595–619. doi:10.1016/j.cor.2004.07.009.
  • Balin, S. 2011. “Parallel Machine Scheduling with Fuzzy Processing Times using a Robust Genetic Algorithm and Simulation.” Information Sciences 181 (17): 3551–3569.10.1016/j.ins.2011.04.010
  • Balseiro, S., I. Loiseau, and J. Ramonet. 2011. “An Ant Colony Algorithm Hybridized with Insertion Heuristics for the Time Dependent Vehicle Routing Problem with Time Windows.” Computers & Operations Research 38 (6): 954–966.10.1016/j.cor.2010.10.011
  • Barreto, S. S. 2003. Available from: http://sweet.ua.pt/~iscf143/
  • Barreto, S., C. Ferreira, J. Paixao, and B. Sousa Santos. 2007. “Using Clustering Analysis in a Capacitated Location-routing Problem.” European Journal of Operational Research 179: 968–977.10.1016/j.ejor.2005.06.074
  • Belenguer, J. M., E. Benavent, C. Prins, C. Prodhon, and R. Wolfler-Calvo. 2011. “A Branch-and-cut Method for the Capacitated Location-routing Problem.” Computers & Operations Research 38: 931–941.
  • Çatay, B. 2010. “A New Saving-based Ant Algorithm for the Vehicle Routing Problem with Simultaneous Pickup and Delivery.” Expert Systems with Applications 37: 6809–6817.10.1016/j.eswa.2010.03.045
  • Contardo, C., V. Hemmelmayr, and T. G. Crainic. 2012. “Lower and Upper Bounds for the Two-echelon Capacitated Location-routing Problem.” Computers & Operations Research 39: 3185–3199.10.1016/j.cor.2012.04.003
  • Derbel, H., B. Jarboui, S. Hanafi, and H. Chabchoub. 2012. “Genetic Algorithm with Iterated Local Search for Solving a Location-routing Problem.” Expert Systems with Applications 39: 2865–2871.10.1016/j.eswa.2011.08.146
  • Dethloff, J. 2001. “Vehicle Routing and Reverse Logistics: The Vehicle Routing Problem with Simultaneous Delivery and Pick-up.” OR-Spektrum 23 (1): 79–96. doi:10.1007/pl00013346.
  • Dorigo, M., V. Maniezzo, and A. Colorni. 1996. “The Ant System: Optimization by a Colony of Cooperating Agents.” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 26 (1): 29–41.10.1109/3477.484436
  • Drexl, M., and M. Schneider. 2015. “A Survey of Variants and Extensions of the Location-routing Problem.” European Journal of Operational Research 241 (2): 283–308.10.1016/j.ejor.2014.08.030
  • Erbao, C., and L. Mingyong. 2009. “A Hybrid Differential Evolution Algorithm to Vehicle Routing Problem with Fuzzy Demands.” Journal of Computational and Applied Mathematics 231 (1): 302–310.10.1016/j.cam.2009.02.015
  • Erbao, C., and L. Mingyong. 2010. “The Open Vehicle Routing Problem with Fuzzy Demands.” Expert Systems with Applications 37 (3): 2405–2411.
  • Escobar, J. W., R. Linfati, and P. Toth. 2013. “A two-phase hybrid heuristic algorithm for the capacitated location-routing problem.” Computers & Operations Research 40: 70–79.10.1016/j.cor.2012.05.008
  • Escobar, J. W., R. Rodrigo Linfati, M. G. Baldoquin, and P. Toth. 2014. “A Granular Variable Tabu Neighborhood Search for the Capacitated Location-routing Problem.” Transportation Research Part B: Methodological 67: 344–356.10.1016/j.trb.2014.05.014
  • Fazel Zarandi, M. H., A. Hemmati, S. Davari, and B. Turksen. 2013. “Capacitated Location-routing Problem with Time Windows under Uncertainty.” Knowledge-Based Systems 37: 480–489.10.1016/j.knosys.2012.09.007
  • Gambardella, L. M., R. Montemanni, and D. Weyland. 2012. “Coupling Ant Colony Systems with Strong Local Searches.” European Journal of Operational Research 220 (3): 831–843.10.1016/j.ejor.2012.02.038
  • Ghaffari-Nasab, N., S. Ghazanfar Ahari, and M. Ghazanfari. 2013. “A Hybrid Simulated Annealing based Heuristic for Solving the Location-routing Problem with Fuzzy Demands.” Scientia Iranica Transactions E: Industrial Engineering 20 (3): 919–930.
  • Hemmelmayr, V., J. Cordeau, and T. Crainic. 2012. “An Adaptive Large Neighborhood Search Heuristic for Two-echelon Vehicle Routing Problems Arising in City Logistics.” Computers & Operations Research 39 (12): 3215–3228.10.1016/j.cor.2012.04.007
  • Karaoglan, I., and F. Altiparmak. 2015. “A Memetic Algorithm for the Capacitated Location-routing Problem with Mixed Backhauls.” Computers & Operations Research 55: 200–216.10.1016/j.cor.2014.06.009
  • Karaoglan, I., F. Altiparmak, I. Kara, and B. Dengiz. 2011. “A Branch and Cut Algorithm for the Location-routing Problem with Simultaneous Pickup and Delivery.” European Journal of Operational Research 211: 318–332.10.1016/j.ejor.2011.01.003
  • Karaoglan, I., F. Altiparmak, I. Kara, and B. Dengiz. 2012. “The Location-routing Problem with Simultaneous Pickup and Delivery: Formulations and a Heuristic Approach.” Omega 40 (4): 465–477.10.1016/j.omega.2011.09.002
  • Kaufmann, A. 1975. Introduction to the Theory of Fuzzy Subsets. Vol. I. New York: Academic Press.
  • Laporte, G. 1988. “Location-routing Problems.” In Vehicle Routing: Methods and Studies, edited by B. L. Golden and A. A. Assad, 163–198. North-Holland, Amsterdam.
  • Li, J., P. M. Pardalos, H. Sun, J. Pei, and Y. Zhang. 2015. “Iterated Local Search Embedded Adaptive Neighborhood Selection Approach for the Multi-depot Vehicle Routing Problem with Simultaneous Deliveries and Pickups.” Expert Systems with Applications 42 (7): 3551–3561. doi:10.1016/j.eswa.2014.12.004.
  • Liu, B. 2004. Uncertain Theory: An Introduce to its Axiomatic Foundations, Studies in Fuzziness and Soft Computing. Berlin: Springer.10.1007/978-3-540-39987-2
  • Manzour-al-Ajdad, S. M. H., S. A. Torabi, and S. Salhi. 2012. “A Hierarchical Algorithm for the Planar Single-facility Location Routing Problem.” Computers & Operations Research 39: 461–470.10.1016/j.cor.2011.05.013
  • Min, H., V. Jayaraman, and R. Srivastava. 1998. “Combined Location-routing Problems: A Synthesis and Future Research Directions.” European Journal of Operational Research 108: 1–15.10.1016/S0377-2217(97)00172-0
  • Nadizadeh, A., and H. Hosseini Nasab. 2014. “Solving the Dynamic Capacitated Location-routing Problem with Fuzzy Demands by Hybrid Heuristic Algorithm.” European Journal of Operational Research 238 (2): 458–470.10.1016/j.ejor.2014.04.012
  • Nadizadeh, A., H. Hosseini Nasab, A. Sadeghieh, and M. B. Fakhrzad. 2014. “A Location-routing Problem Model with Multiple Periods and Fuzzy Demands.” Journal of Data Envelopment Analysis and Decision Science 2014: 1–24. doi:10.5899/2014/dea-00063.
  • Nadizadeh, A., R. Sahraeian, A. Sabzevari Zadeh, and S. M. Homayouni. 2011. “Using Greedy Clustering Method to Solve Capacitated Location-routing Problem.” African Journal of Business Management 5 (17): 7499–7506.
  • Nagy, G., and S. Salhi. 2007. “Location-routing: Issues, Models and Methods.” European Journal of Operational Research 177: 649–672.10.1016/j.ejor.2006.04.004
  • Nguyen, V. P., C. Prins, and C. Prodhon. 2012. “Solving the Two-echelon Location Routing Problem by a GRASP Reinforced by a Learning Process and Path Relinking.” European Journal of Operational Research 216: 113–126.10.1016/j.ejor.2011.07.030
  • Polat, O., C. B. Kalayci, O. Kulak, and H.-O. Günther. 2015. “A Perturbation based Variable Neighborhood Search Heuristic for Solving the Vehicle Routing Problem with Simultaneous Pickup and Delivery with Time Limit.” European Journal of Operational Research 242 (2): 369–382.10.1016/j.ejor.2014.10.010
  • Prodhon, C., and C. Prins. 2014. “A Survey of Recent Research on Location-routing Problems.” European Journal of Operational Research 238 (1): 1–17. doi:10.1016/j.ejor.2014.01.005.
  • Rath, S., and W. J. Gutjahr. 2014. “A Math-heuristic for the Warehouse Location – Routing Problem in Disaster Relief.” Computers & Operations Research 42: 25–39.10.1016/j.cor.2011.07.016
  • Stenger, A., M. Schneider, M. Schwind, and D. Vigo. 2012. “Location Routing for Small Package Shippers with Subcontracting Options.” International Journal of Production Economics 140 (2): 702–712.10.1016/j.ijpe.2011.11.014
  • Vincent, F. Y., and S.-W. Lin. 2014. “Multi-start Simulated Annealing Heuristic for the Location Routing Problem with Simultaneous Pickup and Delivery.” Applied Soft Computing 24: 284–290.
  • Vincent, F. Y., and S.-Y. Lin. 2014. “A Simulated Annealing Heuristic for the Open Location-routing Problem.” Computers & Operations Research. 62: 184–196. doi:10.1016/j.cor.2014.10.009.
  • Xu, J., Z. Wang, M. Zhang, and Y. Tu. 2016. “A new model for a 72-h post-earthquake emergency logistics location-routing problem under a random fuzzy environment.” Transportation Letters, The International Journal of Transportation Research 8 (5) 270–285.
  • Yang, J., and H. Sun. 2015. “Battery Swap Station Location-routing Problem with Capacitated Electric Vehicles.” Computers & Operations Research 55: 217–232.10.1016/j.cor.2014.07.003
  • Yao, B., Q. Cao, Z. Wang, P. Hu, M. Zhang, and B. Yu. 2016. “A two-stage heuristic algorithm for the school bus routing problem with mixed load plan.” Transportation Letters, The International Journal of Transportation Research 8 (4) 205–219.
  • Zachariadis, E. E., C. D. Tarantilis, and C. T. Kiranoudis. 2010. “An Adaptive Memory Methodology for the Vehicle Routing Problem with Simultaneous Pick-ups and Deliveries.” European Journal of Operational Research 202 (2): 401–411. doi:10.1016/j.ejor.2009.05.015.
  • Zadeh, L. A. 1965. “Fuzzy Sets.” Information and Control 8: 338–353.10.1016/S0019-9958(65)90241-X
  • Zadeh, L. A. 1978. “Fuzzy Sets as a Basis for a Theory of Possibility.” Fuzzy Sets and Systems 1 (1): 3–28.10.1016/0165-0114(78)90029-5
  • Zarandi, M. H. F., A. Hemmati, and S. Davari. 2011. “The Multi-depot Capacitated Location-routing Problem with Fuzzy Travel Times.” Expert Systems with Applications 38 (8): 10075–10084.10.1016/j.eswa.2011.02.006
  • Zare Mehrjerdi, Y., and A. Nadizadeh. 2013. “Using Greedy Clustering Method to Solve Capacitated Location-routing Problem with Fuzzy Demands.” European Journal of Operational Research 229 (1): 75–84.10.1016/j.ejor.2013.02.013
  • Zhao, J., and V. Verter. 2014. “A bi-objective model for the Used oil location-routing problem.” Computers & Operations Research 62: 157–168.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.