In this paper, a new version of the location-routing problem (LRP), named orienteering location-routing problem (OLRP) is investigated. The problem is composed of two-well known problems: team orienteering problem (TOP) and LRP. There are some challenging practical applications in logistics, tourism, military operations, and other fields, which can be modeled by OLRP. The problem is to consider the location and routing with a special objective function. In the OLRP, a set of nodes with specific scores is given, and some stations among candidate stations should be established. Moreover, there are some routes limited in length, which start from a station, visit some nodes and then return to the same station. Maximizing the sum of the collected scores is the goal of OLRP. To model the problem, an integer linear programming model is proposed. Against a commercial solver, a heuristic GRASP is developed for solving the standard test problems. Most test problems are found difficult to solve optimally with commercial software while the GRASP can find the best known or close to the best-known solution in a short time.
Accepté le :
Première publication :
Publié le :
DOI : 10.1051/ro/2020058
Keywords: Orienteering problem, location routing problem, GRASP
@article{RO_2021__55_S1_S2055_0,
author = {Nadizadeh, Ali},
title = {Formulation and a heuristic approach for the orienteering location-routing problem},
journal = {RAIRO. Operations Research},
pages = {S2055--S2069},
year = {2021},
publisher = {EDP-Sciences},
volume = {55},
doi = {10.1051/ro/2020058},
mrnumber = {4223082},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2020058/}
}
TY - JOUR AU - Nadizadeh, Ali TI - Formulation and a heuristic approach for the orienteering location-routing problem JO - RAIRO. Operations Research PY - 2021 SP - S2055 EP - S2069 VL - 55 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2020058/ DO - 10.1051/ro/2020058 LA - en ID - RO_2021__55_S1_S2055_0 ER -
%0 Journal Article %A Nadizadeh, Ali %T Formulation and a heuristic approach for the orienteering location-routing problem %J RAIRO. Operations Research %D 2021 %P S2055-S2069 %V 55 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2020058/ %R 10.1051/ro/2020058 %G en %F RO_2021__55_S1_S2055_0
Nadizadeh, Ali. Formulation and a heuristic approach for the orienteering location-routing problem. RAIRO. Operations Research, Tome 55 (2021), pp. S2055-S2069. doi: 10.1051/ro/2020058
[1] , and , A profit-maximization location-routing-pricing problem: a branch-and-price algorithm. Eur. J. Oper. Res. 271 (2018) 866–881. | MR | DOI
[2] , , and , Column generation based heuristics for a generalized location routing problem with profits arising in space exploration. Eur. J. Oper. Res. 223 (2012) 47–59. | MR | Zbl | DOI
[3] , Improved approximation of the general soft-capacitated facility location problem. RAIRO:OR 41 (2007) 83–93. | MR | Numdam | DOI
[4] , and , The set orienteering problem. Eur. J. Oper. Res. 267 (2018) 264–272. | MR | DOI
[5] , and , The team orienteering pick-up and delivery problem with time windows and its applications in fleet sizing. RAIRO:OR 50 (2016) 503–517. | MR | Zbl | Numdam | DOI
[6] , and , An exact method for the capacitated location-routing problem. Oper. Res. 59 (2011) 1284–1296. | MR | Zbl | DOI
[7] , Available at: http://sweet.us.pt/iscf143 (2003).
[8] , , and , Using clustering analysis in a capacitated location-routing problem. Eur. J. Oper. Res. 179 (2007) 968–977. | Zbl | DOI
[9] , , , and , A branch-and-cut method for the capacitated location-routing problem. Comput. Oper. Res. 38 (2011) 931–941. | MR | Zbl | DOI
[10] , and , A branch-and-cut algorithm for the Team Orienteering Problem. Int. Trans. Oper. Res. 25 (2018) 627–635. | MR | DOI
[11] , , and , Multi-commodity location-routing: flow intercepting formulation and branch-and-cut algorithm. Comput. Oper. Res. 89 (2018) 94–112. | MR | DOI
[12] , , , and , A column generation approach for location-routing problems with pickup and delivery. Eur. J. Oper. Res. 272 (2019) 121–131. | MR | DOI
[13] , and , A fast and effective heuristic for the orienteering problem. Eur. J. Oper. Res. 88 (1996) 475–489. | Zbl | DOI
[14] , , and , New notation and classification scheme for vehicle routing problems. RAIRO:OR 49 (2015) 161–194. | MR | Zbl | Numdam | DOI
[15] , and , Lower and upper bounds for the two-echelon capacitated location-routing problem. Comput. Oper. Res. 39 (2012) 3185–3199. | MR | DOI
[16] , , and , A two-phase method for multi-echelon location-routing problems in supply chains. Expert Syst. App. 115 (2019) 618–634. | DOI
[17] , , and , Genetic algorithm with iterated local search for solving a location-routing problem. Expert Syst. App. 39 (2012) 2865–2871. | DOI
[18] and , A survey of variants and extensions of the location-routing problem. Eur. J. Oper. Res. 241 (2015) 283–308. | MR | DOI
[19] , and , Competitive facility location with random attractiveness. Oper. Res. Lett. 46 (2018) 312–317. | MR | DOI
[20] , , and , A GRASP×ELS approach for the capacitated location-routing problem. Comput. Oper. Res. 37 (2010) 1912–1923. | Zbl | DOI
[21] , and , A two-phase hybrid heuristic algorithm for the capacitated location-routing problem. Comput. Oper. Res. 40 (2013) 70–79. | MR | DOI
[22] and , Two effective simulated annealing algorithms for the Location-Routing Problem. Appl. Soft Comput. 70 (2018) 389–422. | DOI
[23] , , , , and , The eCOMPASS multimodal tourist tour planner. Expert Syst. App. 42 (2015) 7303–7316. | DOI
[24] and , A hybrid approach combining local search and constraint programming for a large scale energy management problem. RAIRO:OR 47 (2013) 481–500. | MR | Zbl | Numdam | DOI
[25] , and , The orienteering problem. Nav. Res. Logist. 34 (1987) 307–318. | Zbl | DOI
[26] , and , Orienteering problem: a survey of recent variants, solution approaches and applications. Eur. J. Oper. Res. 255 (2016) 315–332. | MR | DOI
[27] , , and , A hybrid algorithm Tabu Search – GRASP for wounded evacuation in disaster response. RAIRO:OR 54 (2020) 19–36. | MR | Numdam | DOI
[28] , and , An efficient evolutionary algorithm for the orienteering problem. Comput. Oper. Res. 90 (2018) 42–59. | MR | DOI
[29] and , A total-value greedy heuristic for the integer knapsack problem. Oper. Res. Lett. 12 (1992) 65–71. | MR | Zbl | DOI
[30] , Location-routing problems, edited by and . In: Vehicle Routing: Methods and Studies. North-Holland, Amsterdam (1988) 163–198. | MR | Zbl
[31] , , , and , Iterated local search embedded adaptive neighborhood selection approach for the multi-depot vehicle routing problem with simultaneous deliveries and pickups. Expert Syst. App. 42 (2015) 3551–3561. | DOI
[32] , and , Recommendation of personalized routes with public transport connections. Intelligent Interactive Assistance and Mobile Multimedia Computing, edited by , and . In: International Conference, IMC 2009, Rostock-Warnemünde, Germany, November 9–11, 2009. Proceedings. Springer Berlin Heidelberg, Berlin, Heidelberg (2009) 97–107.
[33] , , and , Fuzzy green vehicle routing problem with simultaneous pickup – delivery and time windows. RAIRO:OR 51 (2017) 1151–1176. | MR | Zbl | Numdam | DOI
[34] , and , Designing single origin-destination itineraries for several classes of cycle-tourists. Transp. Res. Proc. 10 (2015) 413–422.
[35] , and , A hierarchical algorithm for the planar single-facility location routing problem. Comput. Oper. Res. 39 (2012) 461–470. | MR | Zbl | DOI
[36] , The fuzzy multi-depot vehicle routing problem with simultaneous pickup and delivery: formulation and a heuristic algorithm. Int. J. Ind. Eng. Prod. Res. 28 (2017) 325–345.
[37] and , Modelling and solving the capacitated location-routing problem with simultaneous pickup and delivery demands. Int. J. Transp. Eng. 6 (2019) 217–235.
[38] and , Fuzzy capacitated location-routing problem with simultaneous pickup and delivery demands. Transp. Lett. 11 (2019) 1–19. | DOI
[39] and , Solving the dynamic capacitated location-routing problem with fuzzy demands by hybrid heuristic algorithm. Eur. J. Oper. Res. 238 (2014) 458–470. | MR | DOI
[40] , , and , Using greedy clustering method to solve capacitated location-routing problem. Afr. J. Bus. Manage. 5 (2011) 7499–7506.
[41] , and , A hybrid heuristic algorithm to solve capacitated location-routing problem with fuzzy demands. Int. J. Ind. Math. 9 (2017) 1–20.
[42] and , Location-routing: issues, models and methods. Eur. J. Oper. Res. 177 (2007) 649–672. | MR | Zbl | DOI
[43] , and , Solving the two-echelon location routing problem by a GRASP reinforced by a learning process and path relinking. Eur. J. Oper. Res. 216 (2012) 113–126. | MR | Zbl | DOI
[44] and , Generalized orienteering problem with resource dependent rewards. Nav. Res. Logist. 60 (2013) 294–312. | MR | DOI
[45] , and , Solving the capacitated location-routing problem by a GRASP complemented by a learning process and a path relinking. Oper. Res. Q. 4 (2006) 221–238. | MR | Zbl | DOI
[46] and , A survey of recent research on location-routing problems. Eur. J. Oper. Res. 238 (2014) 1–17. | MR | DOI
[47] and , A math-heuristic for the warehouse location–routing problem in disaster relief. Comput. Oper. Res. 42 (2014) 25–39. | MR | DOI
[48] , and , Hybrid data mining heuristics for the heterogeneous fleet vehicle routing problem. RAIRO:OR 52 (2018) 661–690. | MR | Zbl | Numdam | DOI
[49] and , Using greedy clustering method to solve capacitated location-routing problem. In: XIII Congreso de Ingeniería de Organización. Barcelona (2009) 1721–1729.
[50] and , The effect of ignoring routes when locating depots. Eur. J. Oper. Res. 39 (1989) 150–156. | MR | Zbl | DOI
[51] , , , and , A personalized tourist trip design algorithm for mobile tourist guides. Appl. Artif. Intell. 22 (2008) 964–985. | DOI
[52] , and , The orienteering problem: a survey. Eur. J. Oper. Res. 209 (2011) 1–10. | MR | Zbl | DOI
[53] , Solving location and routing problem for UAVs. Comput. Ind. Eng. 102 (2016) 294–301. | DOI
[54] and , Battery swap station location-routing problem with capacitated electric vehicles. Comput. Oper. Res. 55 (2015) 217–232. | MR | Zbl | DOI
[55] , , and , A matheuristic approach to the orienteering problem with service time dependent profits. Eur. J. Oper. Res. 273 (2019) 488–503. | MR | Zbl | DOI
[56] , , and , Team orienteering problem with time windows and time-dependent scores. Comput. Ind. Eng. 127 (2019) 213–224. | DOI
[57] and , Using greedy clustering method to solve capacitated location-routing problem with fuzzy demands. Eur. J. Oper. Res. 229 (2013) 75–84. | MR | Zbl | DOI
[58] and , Using greedy clustering method to solve capacitated location-routing problem with fuzzy demands. Int. J. Ind. Eng. Prod. Res. 27 (2016) 1–19.
[59] , and , A priori orienteering with time windows and stochastic wait times at customers. Eur. J. Oper. Res. 239 (2014) 70–79. | MR | Zbl | DOI
[60] and , A bi-objective model for the used oil location-routing problem. Comput. Oper. Res. 62 (2015) 157–168. | MR | Zbl | DOI
Cité par Sources :





